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• Analyzing Lack of Concordance Between the Proteome and Transcriptome in Paired scRNA-Seq and Multiplexed Spatial Proteomics
  In this study, we analyze discordance between the transcriptome and proteome using paired scRNA-Seq and multiplexed spatial proteomics data from HuBMAP. Our findings highlight persistent transcripts in key immune markers, including CD45-RO, Ki67, CD45, CD20, a…
  arxiv Jai Prakash Veerla, Jillur Rahman Saurav, Michael Robben, Jacob M Luber 2023-07-02T18:43:03Z 置信度 0.78 q-bio.TOq-bio.GN
• Membrane proteins and proteomics: Love is possible, but so difficult
  Despite decades of extensive research, the large-scale analysis of membrane proteins remains a difficult task. This is due to the fact that membrane proteins require a carefully balanced hydrophilic and lipophilic environment, which optimum varies with differe…
  arxiv Thierry Rabilloud 2009-06-12T09:11:38Z 置信度 0.78 q-bio.GN
• De novo visual proteomics in single cells through pattern mining
  Cryo-electron tomography enables 3D visualization of cells in a near native state at molecular resolution. The produced cellular tomograms contain detailed information about all macromolecular complexes, their structures, their abundances and their specific sp…
  arxiv Min Xu, Elitza I Tocheva, Yi-Wei Chang, Grant J Jensen 等 2015-12-31T19:18:33Z 置信度 0.78 q-bio.QM
• TraianProt: a user-friendly R shiny application for wide format proteomics data downstream analysis
  Mass spectrometry based proteomics enables large-scale identification, quantification, and characterization of proteins, post-translational modifications, and dynamic expression changes, providing critical insights into biological processes and disease mechani…
  arxiv Samuel de la Camara-Fuentes, Dolores Gutierrez-Blazquez, Maria Luisa Hernaez, Concha Gil 2024-12-20T11:27:16Z 置信度 0.78 stat.APq-bio.QM
• Proteomics Standards Initiatives ProForma 2.0 Unifying the encoding of Proteoforms and Peptidoforms
  There is the need to represent in a standard manner all the possible variations of a protein or peptide primary sequence, including both artefactual and post-translational modifications of peptides and proteins. With that overall aim, here, the Human Proteome …
  arxiv Richard D. LeDuc, Eric W. Deutsch, Pierre-Alain Binz, Ryan T. Fellers 等 2021-09-23T12:59:09Z 置信度 0.78 q-bio.BM
• A robust, scalable K-statistic for quantifying immune cell clustering in spatial proteomics data
  Spatial summary statistics based on point process theory are widely used to quantify the spatial organization of cell populations in single-cell spatial proteomics data. Among these, Ripley's K is a popular metric for assessing whether cells are spatially clus…
  arxiv Julia Wrobel, Hoseung Song 2024-12-11T16:01:09Z 置信度 0.78 stat.MEq-bio.GN
• HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics
  Database search and clustering are fundamental components of many data analytics problems, such as mass spectrometry-driven proteomics. Traditional full clustering and search algorithms suffer from high resource usage and long latencies. We introduce HERP, a l…
  arxiv Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina, Sumukh Pinge 等 2025-11-05T12:55:35Z 置信度 0.78 cs.DBcs.ET
• Discovery of Proteomics based on Machine learning
  The ultimate target of proteomics identification is to identify and quantify the protein in the organism. Mass spectrometry (MS) based on label-free protein quantitation has mainly focused on analysis of peptide spectral counts and ion peak heights. Using seve…
  arxiv Biao He, Baochang Zhang, Yan Fu 2013-12-04T05:34:40Z 置信度 0.78 q-bio.QM
• A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
  Here we present a structural similarity index measure (SSIM) guided conditional Generative Adversarial Network (cGAN) that generatively performs image-to-image (i2i) synthesis to generate photo-accurate protein channels in multiplexed spatial proteomics images…
  arxiv Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben 等 2022-05-20T15:44:53Z 置信度 0.78 eess.IVcs.CVq-bio.QMq-bio.TO
• ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
  Understanding the spatial architecture of the tumor microenvironment (TME) is critical to advance precision oncology. We present ProteinPNet, a novel framework based on prototypical part networks that discovers TME motifs from spatial proteomics data. Unlike t…
  arxiv Louis McConnell, Jieran Sun, Theo Maffei, Raphael Gottardo 等 2025-12-02T18:00:03Z 置信度 0.78 cs.LG
• Mass-spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
  Cellular heterogeneity is important to biological processes, including cancer and development. However, proteome heterogeneity is largely unexplored because of the limitations of existing methods for quantifying protein levels in single cells. To alleviate the…
  arxiv Bogdan Budnik, Ezra Levy, Guillaume Harmange, Nikolai Slavov 2018-08-01T23:50:47Z 置信度 0.78 q-bio.GNq-bio.QM
• Co-folding model guided by structural proteomics
  Protein structure generative models excel at predicting single protein static structures from sequence, but routinely fail to capture the correct conformational state of protein complexes, critical for protein design and induced proximity modalities such as an…
  arxiv Alon Shtrikman, Nitzan Simchi, Michal Ran Shchory, Sagie Brodsky 等 2026-05-25T14:54:08Z 置信度 0.78 cs.LGcs.AIq-bio.BM
• SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
  Spatial proteomics enables single-cell-resolution characterization of protein expression within tissue architecture, playing a critical role in understanding tumor microenvironments and guiding precision medicine. However, current analysis workflows remain fra…
  arxiv Yucheng Yuan, Yuanfeng Ji, Zhongxiao Li, Ruijiang Li 2026-06-23T07:24:23Z 置信度 0.78 cs.AI
• On the importance of block randomisation when designing proteomics experiments
  Randomisation is used in experimental design to reduce the prevalence of unanticipated confounders. Complete randomisation can however create unbalanced designs, for example, grouping all samples of the same condition in the same batch. Block randomisation is …
  arxiv Bram Burger, Marc Vaudel, Harald Barsnes 2020-07-13T12:12:07Z 置信度 0.78 q-bio.QMstat.AP
• Phospho-Proteomics Method Optimization and Application to Stimulated Jurkat Cells
  In clinical proteomics, available input is often limited. In addition, phospho-proteomics is of particular interest since the dysregulation of these post-translational modifications (PTMs) has been implicated in various diseases such as cancer. We therefore as…
  arxiv Teresia Ndungu, Jana Zecha, Lisa Cazares, Sonja Hess 2025-11-04T19:31:10Z 置信度 0.78 q-bio.QMq-bio.GN
• Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
  Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such data is challenging due to the large proportion of missing values. A common str…
  arxiv Haeun Moon, Jin-Hong Du, Jing Lei, Kathryn Roeder 2024-03-23T11:14:50Z 置信度 0.78 stat.MEstat.AP
• Power and limitations of electrophoretic separations in proteomics strategies
  Proteomics can be defined as the large-scale analysis of proteins. Due to the complexity of biological systems, it is required to concatenate various separation techniques prior to mass spectrometry. These techniques, dealing with proteins or peptides, can rel…
  arxiv Thierry Rabilloud, Ali R Vaezzadeh, Noelle Potier, Cécile Lelong 等 2009-09-23T09:29:36Z 置信度 0.78 q-bio.GN
• KEGGexpressionMapper allows for analysis of pathways over multiple conditions by integrating transcriptomics and proteomics measurements
  Motivation: In transcriptomic and proteomics-based studies, the abundance of genes is often compared to functional pathways such as the Kyoto Encyclopaedia at Genes and Genomes (KEGG) to identify active metabolic processes. Even though a plethora of tools allo…
  arxiv Thomas Nussbaumer, Julia Polzin, Alexander Platzer 2017-08-24T16:47:20Z 置信度 0.78 stat.APq-bio.MN
• On the unknown proteins of eukaryotic proteomes
  In order to study unknown proteins on a large scale, a reference system has been set up for the three major eukaryotic lineages, built with 36 proteomes as taxonomically diverse as possible. Proteins from 362 eukaryotic proteomes with no known homologue in thi…
  arxiv Yves-Henri Sanejouand 2022-09-22T13:34:02Z 置信度 0.78 q-bio.GN
• Oxi-Shapes: Tropical geometric analysis of bounded redox proteomic state spaces
  Redox proteomics generates bounded biochemical measurements that are categorically mismatched to conventional linear algebraic formalisms. This work introduces Oxi-Shapes, a tropical geometric framework for the measurement-native analysis of bounded redox prot…
  arxiv James N. Cobley 2026-02-09T16:01:49Z 置信度 0.78 q-bio.QM
• Adaptive spatial blocking for scalable clustering inference with applications to high-throughput spatial proteomics
  Ripley's K-function is a widely used spatial summary statistic for assessing clustering in point patterns. However, existing K-based methods can be computationally prohibitive for large-scale data, particularly in high-throughput spatial proteomics, because th…
  arxiv Mingyu Go, Julia Wrobel, Hoseung Song 2026-06-10T12:45:50Z 置信度 0.78 stat.ME
• How shall we use the proteomics toolbox for biomarker discovery?
  Biomarker discovery for clinical purposes is one of the major areas in which proteomics is used. However, despite considerable effort, the successes have been relatively scarce. In this perspective paper, we try to highlight and analyze the main causes for thi…
  arxiv Pierre Lescuyer, Denis Hochstrasser, Thierry Rabilloud 2008-07-08T10:08:04Z 置信度 0.78 q-bio.GN
• Survival of the cheapest: How proteome cost minimization drives evolution
  Darwin's theory of evolution emphasized that positive selection of functional proficiency provides the fitness that ultimately determines the structure of life, a view that has dominated biochemical thinking of enzymes as perfectly optimized for their specific…
  arxiv Kasper P. Kepp 2020-03-03T15:53:13Z 置信度 0.78 q-bio.PEphysics.bio-ph
• Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network
  Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempt to determine a set of critical proteins that are associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Learning network…
  arxiv Christine A. Liang, Lei Chen, Amer Wahed, Andy N. D. Nguyen 2017-12-29T13:05:30Z 置信度 0.78 q-bio.QMcs.LGstat.ML
• A Network-Guided Penalized Regression with Application to Proteomics Data
  Network theory has proven invaluable in unraveling complex protein interactions. Previous studies have employed statistical methods rooted in network theory, including the Gaussian graphical model, to infer networks among proteins, identifying hub proteins bas…
  arxiv Seungjun Ahn, Eun Jeong Oh 2025-05-29T01:50:17Z 置信度 0.78 stat.MEq-bio.QMstat.AP
• Phenome-wide causal proteomics enhance systemic lupus erythematosus flare prediction: A study in Asian populations
  Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unpredictable flares. This study aimed to develop a novel proteomics-based risk prediction model specifically for Asian SLE populations to enhance personalized disea…
  arxiv Liying Chen, Ou Deng, Ting Fang, Mei Chen 等 2024-11-18T01:50:36Z 置信度 0.78 q-bio.GNcs.LG
• scpFormer: A Foundation Model for Unified Representation and Integration of the Single-Cell Proteomics
  The integration of single-cell proteomic data is often hindered by the fragmented nature of targeted antibody panels. To address this limitation, we introduce scpFormer, a transformer-based foundation model designed for single-cell proteomics. Pre-trained on o…
  arxiv Qifeng Zhou, Lei Yu, Yuzhi Guo, Yuwei Miao 等 2026-04-21T21:27:04Z 置信度 0.78 q-bio.QMcs.AIcs.LG
• AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery
  Spatial proteomics technologies have transformed our understanding of complex tissue architecture in cancer but present unique challenges for computational analysis. Each study uses a different marker panel and protocol, and most methods are tailored to single…
  arxiv Johann Wenckstern, Eeshaan Jain, Yexiang Cheng, Benedikt von Querfurth 等 2025-01-10T15:17:27Z 置信度 0.78 q-bio.QMcs.AIcs.CVcs.LG
• Inference for linear functionals of high-dimensional longitudinal proteomics data using generalized estimating equations
  Regression analysis of correlated data, where multiple correlated responses are recorded on the same unit, is ubiquitous in many scientific areas. With the advent of new technologies, in particular high-throughput omics profiling assays, such correlated data i…
  arxiv Lu Xia, Ali Shojaie 2022-07-24T08:08:32Z 置信度 0.78 stat.ME
• Evaluation of cell wall preparations for proteomics: a new procedure for purifying cell walls from Arabidopsis hypocotyls
  The ultimate goal of proteomic analysis of a cell compartment should be the exhaustive identification of resident proteins; excluding proteins from other cell compartments. Plant cell walls possess specific difficulties. Several reported procedures to isolate …
  arxiv Leila Feiz, Muhammad Irshad, Rafael F Pont-Lezica, Hervé Canut 等 2006-10-12T08:22:38Z 置信度 0.78 q-bio.GN
• Top-down proteomics on a microfluidic platform
  Protein identification and profiling is critical for the advancement of cell and molecular biology as well as medical diagnostics. Although mass spectrometry and protein microarrays are commonly used for protein identification, both methods require extensive e…
  arxiv Yuewen Zhang, Maya A. Wright, Pavan K. Challa, Kadi-Liis Saar 等 2019-10-25T17:40:39Z 置信度 0.78 physics.bio-phq-bio.BM
• Mitochondrial proteomics: analysis of a whole mitochondrial extract with two-dimensional electrophoresis
  Mitochondria are complex organelles, and their proteomics analysis requires a combination of techniques. The emphasis in this chapter is made first on mitochondria preparation from cultured mammalian cells, then on the separation of the mitochondrial proteins …
  arxiv Thierry Rabilloud 2008-07-08T15:28:08Z 置信度 0.78 q-bio.GN
• Simultaneous Hypothesis Testing Using Internal Negative Controls with An Application to Proteomics
  Negative control is a common technique in scientific investigations and broadly refers to the situation where a null effect (''negative result'') is expected. Motivated by a real proteomic dataset, we will present three promising and closely connected methods …
  arxiv Zijun Gao, Qingyuan Zhao 2023-03-02T19:53:20Z 置信度 0.78 stat.MEmath.STstat.AP
• DeepRT: deep learning for peptide retention time prediction in proteomics
  Accurate predictions of peptide retention times (RT) in liquid chromatography have many applications in mass spectrometry-based proteomics. Herein, we present DeepRT, a deep learning based software for peptide retention time prediction. DeepRT automatically le…
  arxiv Chunwei Ma, Zhiyong Zhu, Jun Ye, Jiarui Yang 等 2017-05-15T10:13:36Z 置信度 0.78 q-bio.QM
• A graph-based approach for modification site assignment in proteomics
  Background In proteomics, the most probable localizations of post-translational modifications are assessed by localization scores evaluating the likelihood of a given modification to occupy a site on a peptide sequence. When identifying highly modified peptide…
  arxiv Dafni Skiadopoulou, Lukas Käll, Harald Barsnes, Veit Schwämmle 等 2025-05-23T11:24:41Z 置信度 0.78 q-bio.QM
• DIA-CLIP: a universal representation learning framework for zero-shot DIA proteomics
  Data-independent acquisition mass spectrometry (DIA-MS) has established itself as a cornerstone of proteomic profiling and large-scale systems biology, offering unparalleled depth and reproducibility. Current DIA analysis frameworks, however, require semi-supe…
  arxiv Yucheng Liao, Han Wen, Weinan E, Weijie Zhang 2026-02-02T07:55:24Z 置信度 0.78 cs.LGcs.AIq-bio.QM
• Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
  Large language models (LLMs) have shown promise in various natural language processing tasks, including their application to proteomics data to classify protein fragments. In this study, we curated a limited mass spectrometry dataset with 1000s of protein frag…
  arxiv Taylor A Phillips, Alejandro W. Huskey, Patrick T. Huskey, Seth L. Robia 等 2025-02-26T21:33:26Z 置信度 0.78 q-bio.QM
• Function-on-Scalar Quantile Regression with Application to Mass Spectrometry Proteomics Data
  Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers. Existing mass spectrometry analyses utilize mean regression to detect spectral regions that are differentially e…
  arxiv Yusha Liu, Meng Li, Jeffrey S. Morris 2018-09-01T23:39:07Z 置信度 0.78 stat.ME
• Is the unfoldome widespread in proteomes?
  The term unfoldome has been recently used to indicate the universe of intrinsically disordered proteins. These proteins are characterized by an ensemble of high-flexible interchangeable conformations and therefore they can interact with many targets without re…
  arxiv Antonio Deiana, Andrea Giansanti 2010-12-29T11:15:53Z 置信度 0.78 q-bio.GN
• Deep-time consistency in proteome elemental composition across cellular and viral life
  Proteins are constructed from a limited alphabet of ~20 amino acids, yet the origins and selection of this specific alphabet are unresolved. One largely overlooked aspect is whether elemental composition constrains the range of viable proteomes. Here, we analy…
  arxiv L. Felipe Benites, Louie Slocombe, Sara I. Walker 2026-05-19T04:14:11Z 置信度 0.78 q-bio.BMq-bio.PE
• Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments
  Analyzing proteins from single cells by tandem mass spectrometry (MS) has become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the …
  arxiv Laurent Gatto, Ruedi Aebersold, Juergen Cox, Vadim Demichev 等 2022-07-19T12:19:10Z 置信度 0.78 q-bio.OT
• Fast Proteome Identification and Quantification from Data-Dependent Acquisition - Tandem Mass Spectrometry using Free Software Tools
  Identification of nearly all proteins in a system using data-dependent acquisition (DDA) mass spectrometry has become routine for simple organisms, such as bacteria and yeast. Still, quantification of the identified proteins may be a complex process and requir…
  arxiv Jesse G. Meyer 2018-11-28T21:29:54Z 置信度 0.78 q-bio.QM
• Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
  The applications of large language models (LLMs) are promising for biomedical and healthcare research. Despite the availability of open-source LLMs trained using a wide range of biomedical data, current research on the applications of LLMs to genomics and prot…
  arxiv Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu 等 2024-06-21T14:19:10Z 置信度 0.78 cs.LGcs.AIcs.CLq-bio.QM
• Co-expression of statistically over-represented peptides in proteomes: a key to phylogeny ?
  It is proposed that the co-expression of statistically significant motifs among the sequences of a proteome is a phylogenetic trait. From the co-expression matrix of such motifs in a group of prokaryotic proteomes a suitable definition of a phylogenetic distan…
  arxiv Luca Ferraro, Andrea Giansanti, Giovanni Giuliano, Vittorio Rosato 2004-10-10T13:46:10Z 置信度 0.78 q-bio.MNq-bio.GNq-bio.PE
• Integration of TNF induced apoptosis model and quantitative proteomics data of HeLa cells - our first experience
  The TNF initiated processes are simulated using our integrative computational model with new quantitative proteomics data obtained on HeLa cell line. In spite of fact, that the model development is based on limited experimental information, with missing data e…
  arxiv Csilla Ulicna, Jozef Ulicny 2013-01-15T12:21:32Z 置信度 0.78 q-bio.MN
• Absorption mode broadband 2D MS for proteomics and metabolomics
  Two-dimensional mass spectrometry (2D MS) is a method for tandem mass spectrometry that enables the correlation between precursor and fragment ions without the need for ion isolation. On a Fourier transform ion cyclotron resonance mass spectrometer, the phase …
  arxiv Maria A van Agthoven, Marek Polák, Jan Fiala, Claude Nelcy Ounounou 等 2026-01-21T09:46:09Z 置信度 0.78 eess.SP
• Entropic stabilization of proteins and its proteomic consequences
  We report here a new entropic mechanism of protein thermostability due to residual dynamics of rotamer isomerization in native state. All-atom simulations show that Lysines have much greater number of accessible rotamers than Arginines in folded states of prot…
  arxiv Igor N. Berezovsky, William W. Chen, Paul J. Choi, Eugene I. Shakhnovich 2005-06-22T01:49:50Z 置信度 0.78 q-bio.BMcond-mat.softphysics.bio-phq-bio.GN
• Multidimensional separation prior to mass spectrometry: Getting closer to the bottom of the iceberg
  While prefractionation has previously been shown to improve results in MS analysis, a novel combination provides an additional dimension of separation: protein fractionation by SDS-PAGE followed by IEF of tryptic peptides before separation by RP-LC [Atanassov …
  arxiv Manuel Mayr, Thierry Rabilloud 2013-11-15T08:39:55Z 置信度 0.78 q-bio.GN
• Nonextensive Statistical Signatures of the Bilaterian Transition in Proteome Length Distributions
  Protein length distributions across the tree of life carry a quantitative signature of organismal complexity. Nonextensive statistical mechanics, through the Tsallis generalized entropy formalism, provides a natural framework for describing complex systems cha…
  arxiv Sertac Eroglu 2026-06-26T11:32:33Z 置信度 0.78 cond-mat.stat-mechphysics.bio-ph
• Accurate de novo sequencing of the modified proteome with OmniNovo
  Post-translational modifications (PTMs) serve as a dynamic chemical language regulating protein function, yet current proteomic methods remain blind to a vast portion of the modified proteome. Standard database search algorithms suffer from a combinatorial exp…
  arxiv Yuhan Chen, Shang Qu, Zhiqiang Gao, Yuejin Yang 等 2025-12-13T10:27:14Z 置信度 0.78 q-bio.QMcs.AI
• New mixture models for decoy-free false discovery rate estimation in mass-spectrometry proteomics
  Motivation: Accurate estimation of false discovery rate (FDR) of spectral identification is a central problem in mass spectrometry-based proteomics. Over the past two decades, target decoy approaches (TDAs) and decoy-free approaches (DFAs), have been widely us…
  arxiv Yisu Peng, Shantanu Jain, Yong Fuga Li, Michal Gregus 等 2020-09-17T02:22:15Z 置信度 0.78 q-bio.QM
• A theoretical foundation of the target-decoy search strategy for false discovery rate control in proteomics
  Motivation: Target-decoy search (TDS) is currently the most popular strategy for estimating and controlling the false discovery rate (FDR) of peptide identifications in mass spectrometry-based shotgun proteomics. While this strategy is very useful in practice …
  arxiv Kun He, Yan Fu, Wen-Feng Zeng, Lan Luo 等 2015-01-03T07:20:05Z 置信度 0.78 stat.APmath.ST
• When 2D is not enough, go for an extra dimension
  The use of an extra SDS separation in a different buffer system provide a technique for deconvoluting 2D gel spots made of several proteins (Colignon et al. Proteomics, 2013, 13, 2077-2082). This technique keeps the quantitative analysis of the protein amounts…
  arxiv Thierry Rabilloud 2013-11-15T08:39:25Z 置信度 0.78 q-bio.GN
• Mechanism of Electricacupuncture Treating Detrusor Bladder Neck Dyscoordination After Suprasacral Spinal Cord Injury by Proteomics
  Objectives This study aimed to elucidate the potential mechanisms of electroacupuncture (EA) in restoring detrusor-bladder neck dyssynergesia (DBND) following suprasacral spinal cord injury. Methods A total of 52 adult female Sprague-Dawley rats were randomly …
  arxiv Liya Tang, Qirui Qu, Yiying Long, Xia Wu 等 2025-03-08T08:35:24Z 置信度 0.78 q-bio.BM
• Feature extraction for proteomics imaging mass spectrometry data
  Imaging mass spectrometry (IMS) has transformed proteomics by providing an avenue for collecting spatially distributed molecular data. Mass spectrometry data acquired with matrix assisted laser desorption ionization (MALDI) IMS consist of tens of thousands of …
  arxiv Lyron J. Winderbaum, Inge Koch, Ove J. R. Gustafsson, Stephan Meding 等 2014-10-07T07:24:24Z 置信度 0.78 stat.APq-bio.QM
• Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics
  Understanding sub-cellular protein localisation is an essential component to analyse context specific protein function. Recent advances in quantitative mass-spectrometry (MS) have led to high resolution mapping of thousands of proteins to sub-cellular location…
  arxiv Oliver M. Crook, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk 2019-03-07T13:52:43Z 置信度 0.78 stat.AP
• Proteomics Today, Proteomics Tomorrow
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