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• Chiron3D: an interpretable deep learning framework for understanding the DNA code of chromatin looping.
  Three-dimensional folding of the genome into structures such as chromatin loops is essential for gene regulation. Current experimental methods for mapping these structures, like Hi-C and HiChIP, are labor-intensive and require repeated assays to test hypothesi…
  pubmed Hönig S, Grover A, Neri P, Surdez D 等 2026 Aug 1 置信度 0.89 q-bio.gncomputational biologysynthetic biologyq-bio.bmq-bio.qm
• PepGen: conditional generation of peptides for MHC binding.
  Peptide-MHC II binding drives adaptive immunity, yet discovery of novel binder peptides remains challenging due to open binding grooves of MHC-II that accommodate variable-length peptides. While discriminative models perform well, they are unfeasible for gener…
  pubmed Korpela D, Dumitrescu A, Stražar M, Li R 等 2026 Aug 1 置信度 0.96 drug discoverychemistryq-bio.bmbiochemistrytaxonomy
• Semi-supervised learning for automated perineural invasion detection in multi-organ H&E whole slide images.
  Perineural invasion (PNI) is an important pathological phenotype associated with poor prognosis in multiple malignancies. The primary detection method is visual inspection of whole slide images (WSIs), which is labor-intensive, time-consuming, subjective, and …
  pubmed Alkhan A, Lynch M, Ryan EJ, Lavelle M 等 2026 Aug 1 置信度 0.91 deep learningeess.ivagricultureconvolutional neural networkcs.cv
• SELFormerMM: multimodal molecular representation learning via SELFIES, structure, text, and knowledge graph integration.
  Molecular representation learning is central to computational drug discovery. However, most existing models rely on single-modality inputs, such as molecular sequences or graphs, which capture only limited aspects of molecular behaviour. Yet unifying these mod…
  pubmed Ulusoy E, Bostancı Ş, Deniz BE, Doğan T 2026 Aug 1 置信度 0.96 drug discoverycs.lgq-bio.bmq-bio.qmcs.ai
• Micropeptides encoded by lncRNAs associated with cancer progression reveal novel immunogenic epitopes.
  Long non-coding RNAs (lncRNAs) regulate gene expression, chromatin organization, and cellular signaling. Recent studies indicate that ∼20% of the ∼36 000 human lncRNA genes harbor small open reading frames (sORFs) capable of producing micr…
  pubmed Zok S, Linial M 2026 Aug 1 置信度 0.91 biologycomputational biologyneurosciencesynthetic biologyq-bio.mn
• Discovering reference-missing cell types in bulk transcriptomics.
  Bulk RNA-seq deconvolution methods rely on single-cell reference data to estimate cell-type proportions in heterogeneous tissues, but certain cell types may be systematically absent from single-cell references due to technical limitations such as poor dissocia…
  pubmed Fan Y, Liu Y, Zhong Y, Wang Y 等 2026 Aug 1 置信度 0.96 biologycs.lgcs.aicomputational biologycs.cv
• ARGformer: learning on ancestral recombination graphs with transformers.
  Recent advances in inference of the ancestral recombination graph (ARG), which describes how segments of chromosomes trace back through recombination and shared lineages, have made it possible to reconstruct genome-wide genealogies for large cohorts, but it re…
  pubmed Bonet D, Shanks C, Cara MC, Abante J 等 2026 Aug 1 置信度 0.89 cs.irinterpretabilitylarge language modelscomputer vision and pattern recognitiontaxonomy
• Structure-conditioned self-supervised learning of residue interaction constraints in protein kinases for variant interpretation.
  Protein kinases are key regulators of cellular signaling and are frequently implicated in human diseases. Although kinase domains are structurally conserved, predicting the effects of amino acid substitutions remains challenging as mutations often introduce su…
  pubmed Fadaei S, Krebs FS, Zoete V 2026 Aug 1 置信度 0.96 computer vision and pattern recognitionq-bio.mnq-bio.gngeneticsbiological sciences
• A novel ILP framework to identify compensatory pathways in genetic interaction networks with GIDEON.
  In Baker's yeast, there exists a comprehensive collection of pairwise epistasis experiments that, for nearly every pair of non-essential genes, measures the growth of the double-knockout strain as compared to its component single knockouts. This data can be re…
  pubmed Garcia JJ, Yu KM, Freudenreich CH, Cowen LJ 2026 Aug 1 置信度 0.91 q-bio.mnspace sciencebiologycs.cvsynthetic biology
• TPMM: three-component posterior mixture model enables robust inverton detection in low-depth metagenomes and suggests potential viral invertons.
  Bacterial phase variation enables reversible, locus-specific phenotypic switching, often driven by DNA inversion (invertons). To identify these events, researchers commonly rely on sequencing reads that provide orientation-specific support. Metagenomic sequenc…
  pubmed Lu Y, Guan J, Shen Y, Shang J 等 2026 Aug 1 置信度 0.96 computer sciencebiologycomputer and information sciencesartificial intelligencephysical sciences
• Sensitivity analysis of cell fate trajectories from single-cell transcriptomics.
  Cell differentiation is a dynamic process in which cells traverse through high-dimensional gene expression space under the influence of gene regulatory networks and environmental cues. Recent advances in single-cell RNA sequencing (scRNA-seq) have enabled us t…
  pubmed Noman AA, Sashittal P 2026 Aug 1 置信度 0.96 biologycomputational biologyq-bio.mnq-bio.qmcs.lg
• An end-to-end computational framework for "Record-seq" transcriptional recording data.
  Record-seq captures cumulative transcriptional activity over time in engineered Escherichia coli by integrating cellular RNA-derived spacer sequences into clustered regularly interspaced short palindromic repeats (CRISPR) arrays, which are read out by sequenci…
  pubmed Hugi F, Tanna T, Platt RJ 2026 Aug 1 置信度 0.96 drug discoverybiological sciencesgeneticspharmacologybiology
• Optimizing protein design through uncertainty-weighted steering of protein language models.
  Protein Language Models (PLMs) have revolutionized protein engineering by capturing the evolutionary constraints inherent in natural protein sequences. However, precisely steering these models to engineer novel proteins with targeted functionalities remains ch…
  pubmed Qayyum ABA, Zhou Y, Qian X, Yoon BJ 2026 Aug 1 置信度 0.96 cs.aics.lgq-bio.bmcomputer sciencecs.cl
• Informing agent-based models with spatial data using convolutional autoencoders.
  Spatial computational models such as agent-based models (ABMs) offer powerful in silico tools to study tumor dynamics, yet imaging data are still rarely used to inform these models directly.
  pubmed Wang BR, Liao CY, Danen EHJ, Neubert E 等 2026 Aug 1 置信度 0.89 interpretabilitytransparencymedical physicsq-bio.mnq-bio.qm
• Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug-target interaction prediction.
  Accurate prediction of drug-target interactions (DTIs) is fundamental to drug discovery and mechanistic understanding. While deep learning has advanced computational DTI prediction, most existing methods rely primarily on molecular structural representations, …
  pubmed Lai YJ, Liang T, Chen PY, Tsai YC 等 2026 Aug 1 置信度 0.96 drug discoverycs.lgq-bio.bmq-bio.qmcomputational biology
• Pocket-PROTACs: an interpretable pocket-aware deep learning framework for predicting PROTAC-induced protein degradation.
  Proteolysis-targeting chimeras (PROTACs) enable targeted protein degradation by recruiting an E3 ubiquitin ligase to a protein of interest (POI) and forming a ternary complex. Despite their therapeutic promise, rational PROTAC design remains challenging, as de…
  pubmed Chen K, Huang Z, Wang Y, Shen S 等 2026 Aug 1 置信度 0.96 drug discoverybiochemistrygeneticsmicrobiologypharmacology
• Nerpa 2: probabilistic linking of biosynthetic gene clusters to nonribosomal peptides.
  Nonribosomal peptides (NRPs) are bioactive microbial metabolites with high pharmaceutical potential. Although genome mining enables large-scale detection of biosynthetic gene clusters (BGCs) predicted to encode NRPs, reliably linking these clusters to their ch…
  pubmed Olkhovskii I, Kushnareva A, Tagirdzhanov A, Gurevich A 2026 Aug 1 置信度 0.93 biologybiological sciencesbiochemical engineeringmedlinesynthetic biology
• SPIDER: spatially integrated denoising via embedding regularization with single cell supervision.
  Spatial transcriptomics (ST) technologies profile gene expression while preserving tissue architecture, enabling the study of spatial cellular organization and microenvironmental interactions. However, raw ST data are heavily affected by technical noise, spars…
  pubmed Ansari MI, Alif MN, Zhang W 2026 Aug 1 置信度 0.96 computer and information sciencesbiologycomputational biologycs.lgcs.ai
• Universal differential equations for quantifying NF-κB-p53 signaling crosstalk.
  Universal differential equations (UDEs) have emerged as a powerful tool for scientific discovery, uniting differential equations and deep learning. Yet, their application to the noisy and complex data of systems biology remains limited. Here, we demonstrate th…
  pubmed Kaya UC, Kodragjini X, Zambrano S, Baum K 2026 Aug 1 置信度 0.96 artificial intelligencecs.lgq-bio.qmbiologycomputer science
• MAAMOUL: metabolic network-based discovery of microbiome-metabolome shifts in disease.
  A central goal in human gut microbiome research is to identify disease-associated functional shifts, an objective increasingly pursued through metagenomic and metabolomic assays. However, common differential abundance analyses of genes or metabolites often yie…
  pubmed Muller E, Baum S, Borenstein E 2026 Aug 1 置信度 0.86 biologycomputational biologystat.apsocial and behavioral sciencesconsciousness
• RIBEX: predicting and explaining RNA binding across structured and intrinsically disordered regions (IDR)-rich proteins.
  RNA-binding proteins (RBPs) regulate post-transcriptional processes, yet many remain undiscovered because RNA-binding activity often occurs outside canonical RNA-binding domains (RBDs), including within intrinsically disordered regions (IDRs) or through protei…
  pubmed Firmani S, Steinbauer F, Kasneci G, Marsico A 等 2026 Aug 1 置信度 0.96 q-bio.qmcs.lgq-bio.gncs.irq-bio.bm
• Knowledge-guided learning with curated prior genetic biomarkers for robust model interpretation.
  Knowledge-guided learning offers effective and robust model training strategies in data-scarce settings by incorporating established domain knowledge, thereby enhancing generalization, robustness, and interpretability. By contrast, conventional deep learning a…
  pubmed Baek B, Jang E, Parsa SP, Kim Y 等 2026 Aug 1 置信度 0.96 cs.lgcomputer and information sciencesartificial intelligenceinterpretabilitymachine learning
• A linear interpretable model for drug target prediction.
  Identifying drug targets is fundamental in drug development, both for discovering new therapies and for ensuring effective and safe treatments. Drug-target interactions (DTIs) have been predicted using machine learning approaches that integrate heterogeneous d…
  pubmed Noto S, Ferreyra S, Jimenez R, Galeano D 等 2026 Aug 1 置信度 0.83 drug discoveryinterpretabilitystat.mlq-bio.bmstat.ap
• Dynamically Reconfigurable Hardware Architectures Based on Cellular Automata
  This paper explores the design and implementation of dynamically reconfigurable hardware architectures leveraging the principles of cellular automata (CA). The core concept involves creating a hardware system composed of interconnected computational cells oper…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.aiemerging technologiesengineering
• Dynamically Reconfigurable Hardware Architectures Based on Cellular Automata
  This paper explores the design and implementation of dynamically reconfigurable hardware architectures leveraging the principles of cellular automata (CA). The core concept involves creating a hardware system composed of interconnected computational cells oper…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.aiemerging technologiesengineering
• 基于生物神经网络的硬件加速计算
  This paper proposes a novel hardware accelerator architecture inspired by the structure and function of biological neural networks. The core idea is to leverage the inherent parallelism and energy efficiency of Spiking Neural Networks (SNNs) for accelerated co…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringcs.necomputer and information sciencesartificial neural network
• 基于生物神经网络的硬件加速计算
  This paper proposes a novel hardware accelerator architecture inspired by the structure and function of biological neural networks. The core idea is to leverage the inherent parallelism and energy efficiency of Spiking Neural Networks (SNNs) for accelerated co…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringcs.necomputer and information sciencesartificial neural network
• Anikesh0415/wetware_thermodynamics: v1.0.0: Official Publication - Thermodynamics of Wetware
  Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the statistical mechanics and thermodynamic properties of Organoid Intelligence (OI) and bio…
  datacite Anikesh0415 2026 置信度 0.77 neuromorphic computingphysicsquantum physicsconsciousnesstokamak
• Anikesh0415/wetware_thermodynamics: v1.0.0: Official Publication - Thermodynamics of Wetware
  Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the statistical mechanics and thermodynamic properties of Organoid Intelligence (OI) and bio…
  datacite Anikesh0415 2026 置信度 0.77 neuromorphic computingphysicsquantum physicsconsciousnesstokamak
• Distributed Learning based on Bio-Neural Networks
  This paper explores the potential of leveraging biological neural networks' distributed learning mechanisms for novel approaches in distributed computing. The core argument posits that the inherent resilience and efficiency observed in biological systems can i…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.lgmachine learningcs.ai
• Distributed Learning based on Bio-Neural Networks
  This paper explores the potential of leveraging biological neural networks' distributed learning mechanisms for novel approaches in distributed computing. The core argument posits that the inherent resilience and efficiency observed in biological systems can i…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.lgmachine learningcs.ai
• CL1-MOT-ZENZ
  CL1-MOT-ZENZ: A Theorem-Safe Certification Layer for Observable Adaptive Geometry in Closed-Loop Biological Neural Networks Authors:Vitaliy Bazarov (ORCID: 0009-0007-9967-5807) Abstract:We present a formal analytical and control layer for Cortical Labs CL1-sty…
  datacite Bazarov (VIT-BAZ), Vitaly 2026 置信度 0.77 cs.neartificial neural networkartificial intelligencecs.lgneuromorphic computing
• CL1-MOT-ZENZ
  CL1-MOT-ZENZ: A Theorem-Safe Certification Layer for Observable Adaptive Geometry in Closed-Loop Biological Neural Networks Authors:Vitaliy Bazarov (ORCID: 0009-0007-9967-5807) Abstract:We present a formal analytical and control layer for Cortical Labs CL1-sty…
  datacite Bazarov (VIT-BAZ), Vitaly 2026 置信度 0.77 cs.neartificial neural networkartificial intelligencecs.lgneuromorphic computing
• Neuromorphic Computing-Based Bio-Inspired Learning Algorithm (NCBBLA)
  This paper proposes a novel learning algorithm, Neuromorphic Computing-Based Bio-Inspired Learning Algorithm (NCBBLA), designed to enhance the learning efficiency and performance of neuromorphic computing systems. The core claim is that the learning mechanisms…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecs.neneuromorphic engineeringcs.lgartificial intelligence
• Neuromorphic Computing-Based Bio-Inspired Learning Algorithm (NCBBLA)
  This paper proposes a novel learning algorithm, Neuromorphic Computing-Based Bio-Inspired Learning Algorithm (NCBBLA), designed to enhance the learning efficiency and performance of neuromorphic computing systems. The core claim is that the learning mechanisms…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecs.neneuromorphic engineeringcs.lgartificial intelligence
• Adaptive Networks Based on Neuromorphic Computing
  This paper proposes a novel approach to computing utilizing adaptive networks rooted in neuromorphic principles. The core claim is to design a system capable of achieving low-power, high-efficiency parallel computation by mimicking biological neural networks. …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencesneuromorphic engineeringcs.nescalability
• Adaptive Networks Based on Neuromorphic Computing
  This paper proposes a novel approach to computing utilizing adaptive networks rooted in neuromorphic principles. The core claim is to design a system capable of achieving low-power, high-efficiency parallel computation by mimicking biological neural networks. …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencesneuromorphic engineeringcs.nescalability
• Bio-Inspired Computing Architecture: A Novel Approach to Efficient and Low-Power Computation
  This paper proposes a novel computing architecture inspired by the structure and function of biological neurons. The core claim is that mimicking the information processing and storage mechanisms found in neurons can lead to a computing architecture with inher…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringcs.nearchitectureedge computing
• Bio-Inspired Computing Architecture: A Novel Approach to Efficient and Low-Power Computation
  This paper proposes a novel computing architecture inspired by the structure and function of biological neurons. The core claim is that mimicking the information processing and storage mechanisms found in neurons can lead to a computing architecture with inher…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringcs.nearchitectureedge computing
• Dynamic Topology Neural Morphic Computing
  This paper explores the potential of dynamic topology neural morphic computing, a novel approach to computation inspired by the adaptive and evolving nature of biological neural networks. The core claim is that by simulating the self-adaptive connections and d…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceartificial intelligencecs.lgcs.necomputer and information sciences
• Dynamic Topology Neural Morphic Computing
  This paper explores the potential of dynamic topology neural morphic computing, a novel approach to computation inspired by the adaptive and evolving nature of biological neural networks. The core claim is that by simulating the self-adaptive connections and d…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceartificial intelligencecs.lgcs.necomputer and information sciences
• Formal Modeling and Simulation of Neuromorphic Systems with Analog Circuit Emulation
  Neuromorphic computing, inspired by the human brain, seeks to mimic its architecture and processing paradigms for efficient and energy-conscious computation. Traditional digital neural network simulators, while valuable, often struggle to accurately represent …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.lgneuromorphic engineeringartificial neural network
• Formal Modeling and Simulation of Neuromorphic Systems with Analog Circuit Emulation
  Neuromorphic computing, inspired by the human brain, seeks to mimic its architecture and processing paradigms for efficient and energy-conscious computation. Traditional digital neural network simulators, while valuable, often struggle to accurately represent …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencecomputer and information sciencescs.lgneuromorphic engineeringartificial neural network
• PortabilityRisk: occurrence-level portability architecture of acquired antimicrobial resistance determinants across complete bacterial genomes
  Occurrence-level computational assignments for acquired antimicrobial resistance determinants across complete closed bacterial genomes, with genome-wide structural insertion-sequence annotation added in version 2. 74,349 acquired antimicrobial resistance gene …
  datacite Piranfar, vahhab 2026 置信度 0.79 Plasmidsantimicrobial resistanceChromosomesmobile genetic elementhost-conditioned portability
• PortabilityRisk: occurrence-level portability architecture of acquired antimicrobial resistance determinants across complete bacterial genomes
  Occurrence-level computational assignments for acquired antimicrobial resistance determinants across complete closed bacterial genomes, with genome-wide structural insertion-sequence annotation added in version 2. 74,349 acquired antimicrobial resistance gene …
  datacite Piranfar, vahhab 2026 置信度 0.79 Plasmidsantimicrobial resistanceChromosomesmobile genetic elementhost-conditioned portability
• ##基于多模光场自组织神经元网络
  This paper explores the potential of utilizing multi-mode optical fields to create self-organizing photonic neural networks, mimicking and ultimately enabling computational functionalities observed in biological neuronal networks. The core principle relies on …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringartificial neural networkcs.nephotonics
• ##基于多模光场自组织神经元网络
  This paper explores the potential of utilizing multi-mode optical fields to create self-organizing photonic neural networks, mimicking and ultimately enabling computational functionalities observed in biological neuronal networks. The core principle relies on …
  datacite Zhang, Jincheng 2026 置信度 0.77 computer scienceneuromorphic engineeringartificial neural networkcs.nephotonics
• Postmodern Physics of Hamzah Information.(288)
  تحلیل فوق‌دکتری جامع، فوق‌تخصصی، بدون کوچک‌ترین ساده‌سازی و کاملاً ضدگلوله برای نظریه و معمای شماره ۷۱ از ۱۰۰ (فاز پیشرفته مهندسی ارگانیک و بیوفیزیک فرین در پروتکل جامع فیزیک اطلاعات حمزه) با نام تجاری HamzahXcell: «ماتریس توپولوژیک میدان‌های چرخش فرومونیک-کوا…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.72
• Postmodern Physics of Hamzah Information.(288)
  تحلیل فوق‌دکتری جامع، فوق‌تخصصی، بدون کوچک‌ترین ساده‌سازی و کاملاً ضدگلوله برای نظریه و معمای شماره ۷۱ از ۱۰۰ (فاز پیشرفته مهندسی ارگانیک و بیوفیزیک فرین در پروتکل جامع فیزیک اطلاعات حمزه) با نام تجاری HamzahXcell: «ماتریس توپولوژیک میدان‌های چرخش فرومونیک-کوا…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.72
• Quantum Entanglement-Based Simulation of Information Encoding and Decoding in Biological Systems
  This research investigates the potential of utilizing quantum entanglement to simulate information encoding and decoding mechanisms within biological neural networks. The core premise is that quantum phenomena, specifically entanglement, may play a more signif…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencequantumphysicsquant-phcognitive science
• Quantum Entanglement-Based Simulation of Information Encoding and Decoding in Biological Systems
  This research investigates the potential of utilizing quantum entanglement to simulate information encoding and decoding mechanisms within biological neural networks. The core premise is that quantum phenomena, specifically entanglement, may play a more signif…
  datacite Zhang, Jincheng 2026 置信度 0.77 computer sciencequantumphysicsquant-phcognitive science
• Postmodern Physics of Hamzah Information.(287)
  تحلیل فوق‌دکتری جامع، فوق‌تخصصی، بدون کوچک‌ترین ساده‌سازی و کاملاً ضدگلوله برای نظریه و معمای شماره ۶۱ از ۱۰۰ (فاز پیشرفته کلان‌نظریه‌ها و مهندسی پروتکل‌های خلاء با نام تجاری HamzahXcell): «کدگذاری فرکانس‌های میدان شبه‌ذره‌ای اکسیوتون برای هک پروتکل‌های بازتاب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.68
• Postmodern Physics of Hamzah Information.(287)
  تحلیل فوق‌دکتری جامع، فوق‌تخصصی، بدون کوچک‌ترین ساده‌سازی و کاملاً ضدگلوله برای نظریه و معمای شماره ۶۱ از ۱۰۰ (فاز پیشرفته کلان‌نظریه‌ها و مهندسی پروتکل‌های خلاء با نام تجاری HamzahXcell): «کدگذاری فرکانس‌های میدان شبه‌ذره‌ای اکسیوتون برای هک پروتکل‌های بازتاب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.68
• Galaxy CloudMan: delivering cloud compute clusters
  BACKGROUND: Widespread adoption of high-throughput sequencing has greatly increased the scale and sophistication of computational infrastructure needed to perform genomic research. An alternative to building and maintaining local infrastructure is "cloud compu…
  openalex Enis Afgan, Dannon Baker, Nate Coraor, Brad Chapman 等 2010-12-01 置信度 0.78 Cloud computingComputer scienceSuiteSoftwareComputer cluster
• 11 TOPS photonic convolutional accelerator for optical neural networks
  openalex Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu 等 2021-01-06 置信度 0.64 Computer scienceConvolutional neural networkTOPSArtificial intelligenceDeep learning
• On the energy efficiency of graphics processing units for scientific computing
  The graphics processing unit (GPU) has emerged as a computational accelerator that dramatically reduces the time to discovery in high-end computing (HEC). However, while today's state-of-the-art GPU can easily reduce the execution time of a parallel code by ma…
  openalex Shi‐Yu Huang, Shiyu Xiao, Wu-chun Feng 2009-05-01 置信度 0.78 Computer scienceGraphics processing unitCentral processing unitGraphicsEnergy consumption
• The ANTsX ecosystem for quantitative biological and medical imaging
  The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing and analyzing biological and medical ima…
  openalex Nicholas J. Tustison, Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson 等 2021-04-27 置信度 0.82 Computer sciencePython (programming language)WorkflowSoftwareNormalization (sociology)
• Multislice Computed Tomography in Infective Endocarditis
  openalex Gudrun Feuchtner, Paul Stolzmann, Wolfgang Dichtl, Thomas Schertler 等 2009-01-28 置信度 0.60 MedicineInfective endocarditisRadiologyAbscessEndocarditis
• Advances in Biologically Inspired Reservoir Computing
  openalex Simone Scardapane, J.B. Butcher, Filippo Maria Bianchi, Zeeshan Khawar Malik 2017-04-27 置信度 0.69 Computer scienceReservoir computingArtificial intelligenceCognitive scienceData science
• A Free Energy Principle for Biological Systems
  This paper describes a free energy principle that tries to explain the ability of biological systems to resist a natural tendency to disorder. It appeals to circular causality of the sort found in synergetic formulations of self-organization (e.g., the slaving…
  openalex Karl Friston 2012-10-31 置信度 0.80 Principle of least actionStatistical physicsGeneralityVariational principleInformation bottleneck method
• Voltage control study using UPFC based on biological computing optimization technique
  Unscheduled increment of load variation in a power transmission system has driven the system to experience stressed condition leading to potential cascading trip on the entire system. Thus, close monitoring of load variation in a power network can help in avoi…
  openalex Nur Dianah Mohd. Radzi, Ismail Musirin, Mohamad Khayat Idris, Abdul Rahman Minhat 等 2007-12-14 置信度 0.72 Electric power systemUnified power flow controllerAC powerCapacitorVoltage
• Image and Vision Computing
  openalex Wei Qi Yan, Minh Nguyen, Martin Stommel 2023-01-01 置信度 0.68 Computer scienceGenerative grammarAdversarial systemConvolutional neural networkArtificial intelligence
• Nanobiotechnology: the fabrication and applications of chemical and biological nanostructures
  openalex Christopher R. Lowe 2000-08-01 置信度 0.67 NanomanufacturingNanotechnologyNanobiotechnologyFabricationBiocomposite
• Gene ontology analysis for RNA-seq: accounting for selection bias
  We present GOseq, an application for performing Gene Ontology (GO) analysis on RNA-seq data. GO analysis is widely used to reduce complexity and highlight biological processes in genome-wide expression studies, but standard methods give biased results on RNA-s…
  openalex Matthew D. Young, Matthew J. Wakefield, Gordon K. Smyth, Alicia Oshlack 2010-02-04 置信度 0.78 BiologyRNA-SeqGene ontologyHuman geneticsComputational biology
• Glycans Are a Novel Biomarker of Chronological and Biological Ages
  Fine structural details of glycans attached to the conserved N-glycosylation site significantly not only affect function of individual immunoglobulin G (IgG) molecules but also mediate inflammation at the systemic level. By analyzing IgG glycosylation in 5,117…
  openalex Jasminka Krištić, Frano Vučković, Cristina Menni, Lucija Klarić 等 2013-12-10 置信度 0.80 GlycosylationGlycanBiological ageInflammationN-linked glycosylation
• BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications
  The National Center for Biomedical Ontology (NCBO) is one of the National Centers for Biomedical Computing funded under the NIH Roadmap Initiative. Contributing to the national computing infrastructure, NCBO has developed BioPortal, a web portal that provides …
  openalex Patricia L. Whetzel, Natasha Noy, Nigam H. Shah, Paul R. Alexander 等 2011-06-14 置信度 0.80 Open Biomedical OntologiesOntologyWorld Wide WebComputer scienceOWL-S
• Ubiquitous Computing - Computing in Context
  Computers have advanced beyond the desktop into many parts of everyday life.Ubiquitous Computing is inevitably computing in context: it takes place in situations in the real world.So far most research, especially in mobile computing, has focused on enabling tr…
  crossref Albrecht Schmidt 2003-01-01 置信度 0.72 Ubiquitous computingEnd-user computingComputer scienceContext (archaeology)Context-aware pervasive systems
• Synthesis and biological characterization of silver nanoparticles derived from the cyanobacterium Oscillatoria limnetica
  Using aqueous cyanobacterial extracts in the synthesis of silver nanoparticle is looked as green, ecofriendly, low priced biotechnology that gives advancement over both chemical and physical methods. In the current study, an aqueous extract of Oscillatoria lim…
  openalex Ragaa A. Hamouda, Mervat H. Hussein, Rasha A. Abo-Elmagd, Salwa S. Bawazir 2019-09-10 置信度 0.82 Nuclear chemistryOscillatoriaSilver nanoparticleAqueous solutionAntibacterial activity
• Petri Nets for Biologically Motivated Computing
  Petri nets are a general and well-established model of concurrent and distributed computation and behaviour, including that taking place in biological systems. In this survey paper, we are concerned with intrinsic relationships between Petri nets and two forma…
  openalex Jetty Kleijn, Maciej Koutny, Grzegorz Rozenberg 2011-01-01 置信度 0.80 Petri netComputer scienceProgramming language
• Training and operation of an integrated neuromorphic network based on metal-oxide memristors
  openalex M. Prezioso, Farshad Merrikh‐Bayat, Brian D. Hoskins, Gina C. Adam 等 2015-05-01 置信度 0.66 MemristorNeuromorphic engineeringCrossbar switchComputer scienceTransistor
• PlutoF – cloud database and computing services supporting biological research
  Biodiversity data -covering all types of data utilized in ecology, genetics and taxonomy.Biological sample -any DNA, tissue, specimen, soil, water, air, etc. sample which includes biological material.Cloud database -database hosting data that consists of virtu…
  openalex Kessy Abarenkov 2011-10-04 置信度 0.75 Cloud computingComputer scienceDatabaseData scienceWorld Wide Web
• Mesoscopic models of biological membranes
  openalex Maddalena Venturoli, M MADDALENASPEROTTO, M KRANENBURG, Berend Smit 2006-11-20 置信度 0.67 Mesoscopic physicsMembranePhysicsLipid bilayerBilayer
• Causal analysis approaches in Ingenuity Pathway Analysis
  MOTIVATION: Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks constructed from individual relationships curated from the literature are particularly suited for this task, since they create mec…
  openalex A. Krämer, Jeff Green, Jack Pollard, Stuart Tugendreich 2013-12-13 置信度 0.80 IngenuityDownstream (manufacturing)Upstream (networking)Computer scienceNetwork analysis
• Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis
  MOTIVATION: Many practical pattern recognition problems require non-negativity constraints. For example, pixels in digital images and chemical concentrations in bioinformatics are non-negative. Sparse non-negative matrix factorizations (NMFs) are useful when t…
  openalex Hyunsoo Kim, Haesun Park 2007-05-05 置信度 0.78 Non-negative matrix factorizationComputer sciencePattern recognition (psychology)Sparse matrixCluster analysis
• Association of Computed Tomography Morphologic Criteria With Pathologic Response and Survival in Patients Treated With Bevacizumab for Colorectal Liver Metastases
  CONTEXT: The standard criteria used to evaluate tumor response, the Response Evaluation Criteria in Solid Tumors (RECIST), were developed to assess tumor shrinkage after cytotoxic chemotherapy and may be limited in assessing response to biologic agents, which …
  openalex Yun Shin Chun 2009-12-01 置信度 0.78 MedicineBevacizumabResponse Evaluation Criteria in Solid TumorsColorectal cancerInterquartile range
• NIH Image to ImageJ: 25 years of image analysis
  openalex Caroline A Schneider, Wayne Rasband, Kevin W. Eliceiri 2012-06-28 置信度 0.62 SoftwareImage (mathematics)Computer scienceData scienceImage processing
• ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments
  MOTIVATION: Experiments such as ChIP-chip, ChIP-seq, ChIP-PET and DamID (the four methods referred herein as ChIP-X) are used to profile the binding of transcription factors to DNA at a genome-wide scale. Such experiments provide hundreds to thousands of poten…
  openalex Alexander Lachmann, Huilei Xu, Jayanth Krishnan, Seth Berger 等 2010-08-13 置信度 0.78 Transcription factorGeneDatabaseComputational biologyTranscription (linguistics)
• Advances in Magnetics Roadmap on Spin-Wave Computing
  Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CM…
  openalex Andrii V. Chumak, Pavel Kaboš, Mingzhong Wu, Claas Abert 等 2022-02-07 置信度 0.82 MagnonicsNeuromorphic engineeringComputer scienceScalabilityPhysics
• Neural Networks and Neuroscience-Inspired Computer Vision
  openalex David Cox, Thomas Dean 2014-09-01 置信度 0.62 BiologyNeuroscienceCognitive scienceSystems neuroscienceArtificial intelligence
• Stenotic Bicuspid and Tricuspid Aortic Valves ― Micro-Computed Tomography and Biological Indices of Calcification ―
  BACKGROUND: Valve calcification is well estimated by ex-vivo micro-computed tomography (micro-CT). The objective of this study was to investigate the associations between micro-CT findings and biological indices of calcification in aortic stenosis (AS), as wel…
  openalex Piotr Mazur, Ewa Wypasek, Bogusław Gawęda, Dorota Sobczyk 等 2017-01-01 置信度 0.80 CalcificationBicuspid aortic valveMedicineStenosisComputed tomography
• Research Issues in Social computing
  Social Computing and online communities have ushered in a new era of the web, where information and communication technologies are facilitating organized human endeavor in fundamentally new ways. The broad impact of social computing in diverse domains and the …
  openalex Manoj Parameswaran, Andrew B. Whinston 2007-06-01 置信度 0.78 Social computingComputer scienceData scienceKnowledge managementField (mathematics)
• Nanotechnology, genomics, and biological computing: The 21st century world of computers
  Ordinateurs du futur, bases sur la combinaison de la genomique et des nanotechnologies, utilisant des organismes vivants
  openalex Nancy K. Herther 2003-01-01 置信度 0.70 GenomicsData scienceComputer scienceNanotechnologyWorld Wide Web
• Evaluation of consensus methods in predictive species distribution modelling
  ABSTRACT Aim Spatial modelling techniques are increasingly used in species distribution modelling. However, the implemented techniques differ in their modelling performance, and some consensus methods are needed to reduce the uncertainty of predictions. In thi…
  openalex Mathieu Marmion, Miia Parviainen, Miska Luoto, Risto K. Heikkinen 等 2008-12-08 置信度 0.78 Random forestReceiver operating characteristicThreatened speciesStatisticsEnvironmental niche modelling
• Unit commitment with nature and biologically inspired computing
  Several strategies have been proposed to provide quality solutions to the unit commitment problem and increase the potential saving in the power system operation. These include deterministic and stochastic search algorithms. One of the limitations of determini…
  openalex Lingamurthy Belede, Amit Jain, Ravikanth Reddy Gaddam 2009-01-01 置信度 0.78 Power system simulationCurse of dimensionalityComputer scienceField (mathematics)Quality (philosophy)
• Autonomia: an autonomic computing environment
  The proliferation of Internet technologies, services and devices, have made the current networked system designs, and management tools incapable of designing reliable, secure networked systems and services. In fact, we have reached a level of complexity, heter…
  openalex Xiangdong Dong, Salim Hariri, Lizhi Xue, Huoping Chen 等 2003-10-31 置信度 0.78 Autonomic computingComputer scienceMiddleware (distributed applications)Software deploymentQuality of service
• Vibrational self-consistent field calculations for spectroscopy of biological molecules: new algorithmic developments and applications
  This review describes the vibrational self-consistent field (VSCF) method and its other variants for computing anharmonic vibrational spectroscopy of biological molecules. The superiority and limitations of this algorithm are discussed with examples. The spect…
  openalex Tapta Kanchan Roy, R. B. Gerber 2013-01-01 置信度 0.80 AnharmonicityField (mathematics)MoleculeSpectroscopyComputational chemistry
• Agent Technology: Enabling Next Generation Computing (A Roadmap for Agent Based Computing)
  About AgentLink vi Executive Summary 1 1 Agent-based Computing 9 1.1 What is an agent? 10 1.2 Agents as a design metaphor 10 1.3 Agents as a source of technologies 10This report describes the current state-of-the-art of agent technologies and identifies trends…
  crossref G. Flucke, Peter McBurney, Chris Preist 2003-01-01 置信度 0.71 Computer scienceDistributed computing
• Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
  Shotgun metagenomic analysis of the human associated microbiome provides a rich set of microbial features for prediction and biomarker discovery in the context of human diseases and health conditions. However, the use of such high-resolution microbial features…
  openalex Edoardo Pasolli, Duy Tin Truong, Faizan Malik, Levi Waldron 等 2016-07-11 置信度 0.80 MetagenomicsComputer scienceComputational biologyData scienceMachine learning
• The Implant Biologic Pontic Designed Interface: Description of the Technique and Cone‐Beam Computed Tomography Evaluation
  PURPOSE: The study aims to evaluate clinically the thickness of the alveolar ridge mucosa underneath a zirconia implant-supported restoration with a modified ovate pontic. MATERIALS AND METHODS: Sixty-five patients, 32 women and 33 men (mean age: 65.5 years; r…
  openalex Alessandro Pozzi, Marco Tallarico, Peter K. Moy 2015-03-19 置信度 0.80 MaxillaMandible (arthropod mouthpart)Alveolar ridgeMedicineDentistry
• Impacts of biological and procedural factors on semiquantification uptake value of liver in fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography imaging.
  BACKGROUND: Increased metabolic activity of fluorodeoxyglucose (FDG) in tissue is not only resulting of pathological uptake, but due to physiological uptake as well. This study aimed to determine the impacts of biological and procedural factors on FDG uptake o…
  openalex Mohd Hafizi Mahmud, Abdul Jalil Nordin, Fathinul Fikri Ahmad Saad, Ahmad Zaid Fattah Azman 2015-10-01 置信度 0.80 Standardized uptake valuePositron emission tomographyMedicineAnalysis of varianceBody mass index
• Modeling of Biological Processes by Using Membrane Computing Formalism
  Problem statement: Membrane computing has structural resemblance with the cell structure. This characteristic provides the versatility in the modeling of biological processes. Approach: This study was carried to discuss the membrane computing formalism in mode…
  openalex Ravie Chandren Muniyandi, Abdullah Mohd Zın 2009-11-01 置信度 0.78 Formalism (music)Computer scienceStatistical physicsPhysicsMusical
• The architecture of human kin detection
  openalex Debra Lieberman, John Tooby, Leda Cosmides 2007-02-01 置信度 0.60 KinshipSiblingKin recognitionPsychologyInbreeding
• Analysis of RNA-Seq Data Using TopHat and Cufflinks
  openalex Sreya Ghosh, Chon‐Kit Kenneth Chan 2015-10-30 置信度 0.62 RNA-SeqComputer scienceComputational biologyBiologyGenetics
• Iterative reconstruction techniques in emission computed tomography
  In emission tomography statistically based iterative methods can improve image quality relative to analytic image reconstruction through more accurate physical and statistical modelling of high-energy photon production and detection processes. Continued expone…
  openalex Jinyi Qi, Richard M. Leahy 2006-07-12 置信度 0.74 Iterative reconstructionComputer scienceIterative methodTomographyImage quality
• Emerging technologies for biological recording
  Technology has played an important role in biological recording for hundreds of years, from the invention of the microscope to the microprocessor. We review current and emerging technologies that are changing the way we study and record the natural world. From…
  openalex Tom August, Martin Harvey, Paula Lightfoot, David J Kilbey 等 2015-04-20 置信度 0.80 Data scienceData curationEmerging technologiesInteroperabilityProcess (computing)
• Configural Processing of Biological Motion in Human Superior Temporal Sulcus
  Observers recognize subtle changes in the movements of others with relative ease. However, tracking a walking human is computationally difficult, because the degree of articulation is high and scene changes can temporarily occlude parts of the moving figure. H…
  openalex James C. Thompson, Michele Clarke, Tennille Stewart, Aina Puce 2005-09-28 置信度 0.78 Biological motionTorsoSuperior temporal sulcusSulcusSuperior parietal lobule
• Flux balance analysis of biological systems: applications and challenges
  Systems level modelling and simulations of biological processes are proving to be invaluable in obtaining a quantitative and dynamic perspective of various aspects of cellular function. In particular, constraint-based analyses of metabolic networks have gained…
  openalex Karthik Raman, Nagasuma Chandra 2009-03-15 置信度 0.78 Flux balance analysisComputer scienceConstraint (computer-aided design)Systems biologyBiological network
• Bone tissue engineering using polycaprolactone scaffolds fabricated via selective laser sintering
  openalex J.M. Williams, Adebisi Adewunmi, Rachel M. Schek, Colleen L. Flanagan 等 2005-01-25 置信度 0.60 Materials sciencePolycaprolactoneSelective laser sinteringScaffoldBiomedical engineering
• Data-Based Selection of an Appropriate Biological Model: The Key to Modern Data Analysis
  openalex Kenneth P. Burnham, David R. Anderson 1992-01-01 置信度 0.67 Akaike information criterionModel selectionEstimatorGoodness of fitSelection (genetic algorithm)
• Positron emission tomography with computed tomography imaging (PET/CT) for the radiotherapy planning definition of the biological target volume: PART 1
  openalex Pierpaolo Alongi, Riccardo Laudicella, Isacco Desideri, Agostino Chiaravalloti 等 2019-01-27 置信度 0.71 Positron emission tomographyMedicineRadiation therapyNuclear medicineRadiology