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A long-standing challenge in developing machine learning approaches has been the lack of high-quality labeled data. Recently, models trained with purely synthetic data, here termed synthetic clones, generated using large-scale pre-trained diffusion models have…
arxiv
Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer 等
2024-05-30T20:37:34Z
置信度 0.78
cs.CV
-
Advances in biology have mostly relied on theories that were subsequently revised, expanded or eventually refuted using experimental and other means. Theoretical biology used to primarily provide a basis to rationally examine the frameworks within which biolog…
arxiv
Sepehr Ehsani
2016-04-29T21:45:53Z
置信度 0.78
q-bio.OT
-
In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particular, we discuss recent work on identifying and modelling the structure of bio-molecular networks, as well as the application of centrality measures to interacti…
arxiv
Oliver Mason, Mark Verwoerd
2006-04-06T14:55:34Z
置信度 0.78
q-bio.MNq-bio.QM
-
Generative Adversarial Networks (GANs) have proven to be a preferred method of synthesizing fake images of objects, such as faces, animals, and automobiles. It is not surprising these models can also generate ISO-compliant, yet synthetic iris images, which can…
arxiv
Patrick Tinsley, Adam Czajka, Patrick Flynn
2022-11-03T00:34:47Z
置信度 0.78
cs.CV
-
With the advent of generative modeling techniques, synthetic data and its use has penetrated across various domains from unstructured data such as image, text to structured dataset modeling healthcare outcome, risk decisioning in financial domain, and many mor…
arxiv
Aman Gupta, Deepak Bhatt, Anubha Pandey
2021-05-10T06:57:14Z
置信度 0.78
cs.LG
-
Cellular biology exists embedded in a world dominated by random dynamics and chance. Many vital molecules and pieces of cellular machinery diffuse within cells, moving along random trajectories as they collide with the other biomolecular inhabitants of the cel…
arxiv
Iain G. Johnston
2012-08-10T19:01:38Z
置信度 0.78
q-bio.CBq-bio.SC
-
This position paper explores the benefits, drawbacks, and ethical considerations of incorporating synthetic personae in HCI research, particularly focusing on the customization challenges beyond the limitations of current Large Language Models (LLMs). These pe…
arxiv
Helena A. Haxvig
2024-05-08T14:24:11Z
置信度 0.78
cs.HCcs.AI
-
This article introduces the physics of information in the context of molecular biology and genomics. Entropy and information, the two central concepts of Shannon's theory of information and communication, are often confused with each other but play transparent…
arxiv
Christoph Adami
2004-05-05T20:52:48Z
置信度 0.78
q-bio.BMq-bio.PE
-
Visual grouping -- operationalized through tasks such as instance segmentation, visual grounding, and object detection -- enables applications ranging from robotic perception to photo editing. These fundamental problems in computer vision are powered by large-…
arxiv
Weikai Huang, Jieyu Zhang, Taoyang Jia, Chenhao Zheng 等
2025-10-10T08:04:30Z
置信度 0.78
cs.CVcs.AI
-
Synthetic Data is increasingly important in financial applications. In addition to the benefits it provides, such as improved financial modeling and better testing procedures, it poses privacy risks as well. Such data may arise from client information, busines…
arxiv
Tucker Balch, Vamsi K. Potluru, Deepak Paramanand, Manuela Veloso
2024-03-20T20:41:26Z
置信度 0.78
cs.CRcs.LGq-fin.ST
-
Epigenetic Tracking is a mathematical model of biological cells, originally conceived to study embryonic development. Computer simulations proved the capacity of the model to generate complex 3-dimensional cellular structures, and the potential to reproduce th…
arxiv
Alessandro Fontana
2013-04-08T11:51:56Z
置信度 0.78
q-bio.CBq-bio.PE
-
Possibilities for using geometry and topology to analyze statistical problems in biology raise a host of novel questions in geometry, probability, algebra, and combinatorics that demonstrate the power of biology to influence the future of pure mathematics. Thi…
arxiv
Ezra Miller
2015-08-21T19:57:12Z
置信度 0.78
q-bio.QMmath.AGmath.PRq-bio.PE
-
Accurate particle size distribution (PSD) measurement is important in industries such as mining, pharmaceuticals, and fertilizer manufacturing, significantly influencing product quality and operational efficiency. Traditional PSD methods like sieve analysis an…
arxiv
Yasser El Jarida, Youssef Iraqi, Loubna Mekouar
2025-07-01T14:52:47Z
置信度 0.78
cs.CV
-
Differentially Private Synthetic Data Generation (DP-SDG) is a key enabler of private and secure tabular-data sharing, producing artificial data that carries through the underlying statistical properties of the input data. This typically involves adding carefu…
arxiv
Samuel Maddock, Shripad Gade, Graham Cormode, Will Bullock
2025-04-15T08:59:03Z
置信度 0.78
cs.LGcs.CR
-
Deep learning models benefit from increasing data diversity and volume, motivating synthetic data augmentation to improve existing datasets. However, existing evaluation metrics for synthetic data typically calculate latent feature similarity, which is difficu…
arxiv
Ümit Mert Çağlar, Alptekin Temizel
2026-03-10T13:03:53Z
置信度 0.78
cs.CVcs.AI
-
Over the recent years, the advancements in deep face recognition have fueled an increasing demand for large and diverse datasets. Nevertheless, the authentic data acquired to create those datasets is typically sourced from the web, which, in many cases, can le…
arxiv
Andrea Atzori, Pietro Cosseddu, Gianni Fenu, Mirko Marras
2024-09-04T16:50:48Z
置信度 0.78
cs.CV
-
Pre-training models with large crawled corpora can lead to issues such as toxicity and bias, as well as copyright and privacy concerns. A promising way of alleviating such concerns is to conduct pre-training with synthetic tasks and data, since no real-world i…
arxiv
Zexue He, Graeme Blackwood, Rameswar Panda, Julian McAuley 等
2022-12-19T21:34:00Z
置信度 0.78
cs.CLcs.AI
-
This chapter talks about the importance of ethics in the development of synthetic biology and explains why the ethics of synthetic biology differs from the ethics of analytic biology. It identifies the key areas of ethical concern in synthetic biology. It also…
crossref
David Obree
2023-09-15T12:37:20Z
置信度 0.70
-
This chapter discusses methods by which DNA can be edited, written, and constructed, including the challenges faced in authoring DNA. It shows how the function of DNA instructions can be lost over time and how practitioners are seeking to protect DNA from corr…
crossref
Leonard J. Nelson, Alistair Elfick
2023-09-15T12:21:57Z
置信度 0.70
-
This chapter describes various features of mammals that set them apart from other animals and looks at five features of mammalian synthetic biology. It covers the structure, function, behaviour, development, and evolution of mammals. The chapter also provides …
crossref
Jamie A. Davies
2023-09-15T07:24:09Z
置信度 0.70
-
This chapter reviews key features, various sources, and applications of stem cells. It describes the key challenges of differentiating pluripotent stem cells to specific cell and tissue types and explains how synthetic transcription factors can help control st…
crossref
Steven M. Pollard
2023-09-15T10:10:27Z
置信度 0.70
-
This chapter outlines the virtuous cycle in which basic science informs the design of synthetic systems, and new synthetic systems can be used to discover more basic science. It cites the two broad ways in which synthetic biology is applied to basic science: a…
crossref
Jamie A. Davies
2023-09-15T13:15:38Z
置信度 0.70
-
‘Synthetic biology and healthcare’ explains how synthetic biology can be applied to medicine: it can be used to produce drugs and new vaccines; improve monitoring and diagnosis; and it is just starting to be used to modify human cells with properties designed …
crossref
Jamie A. Davies
2018-07-26T06:20:47Z
置信度 0.70
-
While it may be expected that medicine and chemistry will have potential uses for synthetic biology, it is less obvious that the field might be relevant to the inorganic engineering of buildings, bridges, and computers. Nevertheless, the responsiveness of biol…
crossref
Jamie A. Davies
2018-07-26T06:20:14Z
置信度 0.70
-
This chapter sets out the basic principles of biosafety and biosecurity in synthetic biology, as governance tools intended to manage risk. It explores the interplay between unintentional exposure to harmful biological agents, and the potential for deliberate m…
crossref
Emma Frow, Robert Smith, Lalitha Sundaram
2026-08-04T16:44:41Z
置信度 0.70
-
crossref
Maxim G. Ryadnov
2017-12-18T10:37:25Z
置信度 0.70
-
Synthetic biology depends on technologies for reading and writing DNA sequences of genes. Modification is almost always done at the genetic level because genes are heritable, needing to be engineered only once. ‘How synthetic biology is done’ describes the pro…
crossref
Jamie A. Davies
2018-07-26T06:19:06Z
置信度 0.70
-
crossref
Maxim G Ryadnov
2014-06-02T14:28:59Z
置信度 0.70
-
crossref
2015-12-16T11:54:56Z
置信度 0.70
-
Synthetic biology has been built on the foundations of a vast amount of fundamental knowledge about how genes, proteins, and living cells and tissues work. It is now paying back its debt to science by providing sophisticated tools for analysis of natural syste…
crossref
Jamie A. Davies
2018-07-26T06:20:24Z
置信度 0.70
-
The world faces a number of pressing environmental challenges: limited resources; limited space; loss of biodiversity; pollution of land, water, and air; and the impact of climate change thought to be driven by air pollution and by altered land use. Synthetic …
crossref
Jamie A. Davies
2018-07-26T06:20:34Z
置信度 0.70
-
crossref
Aleksandra Filipovska, Oliver Rackham
2014-06-02T14:28:59Z
置信度 0.70
-
crossref
2017-12-18T10:37:25Z
置信度 0.70
-
crossref
2017-12-18T10:37:25Z
置信度 0.70
-
crossref
Oliver Müller
2015-11-26T08:46:42Z
置信度 0.70
-
crossref
2018-05-02T09:18:30Z
置信度 0.70
-
crossref
2016-04-07T23:28:32Z
置信度 0.70
-
crossref
Cristiano Chiarabelli, Pasquale Stano, Pier Luigi Luisi
2014-06-02T14:28:59Z
置信度 0.70
-
crossref
2017-12-18T10:37:25Z
置信度 0.70
-
crossref
Pier Luigi Luisi
2011-06-21T08:11:57Z
置信度 0.70
-
crossref
Paul A. Dalby
2014-06-02T14:28:59Z
置信度 0.70
-
Abstract This article presents the global patent landscape for synthetic biology as a new and emerging area of science and technology. The aim of the article is to provide an overview of the emergence of synthetic biology in the patent system and to contribute…
preprints
Paul Oldham, Stephen Hall
2018
置信度 0.74
-
crossref
2016-04-07T23:28:32Z
置信度 0.70
-
Mammalian Synthetic Biology starts by introducing the biology of mammals and providing a broad overview of how synthetic biology is applied to mammals. It then presents some special features of mammalian systems that distinguish mammals from other organisms be…
crossref
Jamie A. Davies
2023-09-15T09:29:17Z
置信度 0.70
-
crossref
2018-05-02T09:18:30Z
置信度 0.70
-
Governing Synthetic Biology focuses on understanding different ways that scientists, engineers and their stakeholders can shape and steer—or govern—synthetic biology. The text shows that there are many ways, and many tools available, to steer the direction of …
crossref
Emma Frow, Robert Smith, Lalitha Sundaram
2026-08-04T16:44:40Z
置信度 0.70
-
crossref
2016-04-07T23:28:32Z
置信度 0.70
-
crossref
Daniel Bojar
2019-08-28T12:22:21Z
置信度 0.70
-
crossref
2018-05-02T05:18:30Z
置信度 0.70
-
crossref
Vijai Singh
2020-04-13T11:02:57Z
置信度 0.70
-
crossref
Kaushal kishor sharma
2015-11-03T07:52:01Z
置信度 0.70
-
crossref
Toshihisa Osaki, Koki Kamiya, Shoji Takeuchi
2014-06-02T14:28:59Z
置信度 0.70
-
crossref
2015-05-06T04:55:25Z
置信度 0.70
-
crossref
Joyce Tait
2009-09-10T12:44:13Z
置信度 0.70
-
crossref
Zhanyi Yao
2025-12-15T16:09:57Z
置信度 0.70
-
crossref
2017-12-18T10:37:25Z
置信度 0.70
-
crossref
Jacques Ricard
2015-01-05T06:27:45Z
置信度 0.70
-
crossref
2018-05-02T09:18:30Z
置信度 0.70
-
crossref
2016-04-07T19:28:32Z
置信度 0.70
-
crossref
2016-04-07T19:28:32Z
置信度 0.70
-
crossref
Florian Richter, David Baker
2013-09-09T16:24:22Z
置信度 0.70
-
crossref
Luis Campos
2009-09-10T12:44:13Z
置信度 0.70
-
crossref
Bernadette Bensaude Vincent
2015-11-26T13:46:42Z
置信度 0.70
-
crossref
Vijaya Bhaskar Reddy
2015-11-03T07:52:01Z
置信度 0.70
-
crossref
2018-05-02T05:18:30Z
置信度 0.70
-
crossref
Mitsuhiro Itaya
2009-09-22T20:46:30Z
置信度 0.70
-
crossref
Mariano Bizzarri
2014-10-22T06:12:20Z
置信度 0.70
-
crossref
Singh V Dhar PK
2015-01-05T11:27:45Z
置信度 0.70
-
crossref
Andrea Tagliani
2020-11-27T14:36:49Z
置信度 0.70
-
crossref
Ralph P. G. Bosmans, Luc Brunsveld
2014-06-02T14:28:59Z
置信度 0.70
-
Abstract Nonlinearity plays a fundamental role in the performance of both natural and synthetic biological networks. Key functional motifs in living microbial systems, such as the emergence of bistability or oscillations, rely on nonlinear molecular dynamics. …
preprints
Ruud Stoof, Ángel Goñi-Moreno
2020
置信度 0.74
-
crossref
Rajendra K. Bera
2019-02-07T15:51:06Z
置信度 0.70
-
Abstract The Synthetic Biology Open Language version 3 data standard provides a graph-based approach to exchange information about biological designs. The new data model has major updates and offers several features for software tools. Here, we present libSBOL…
preprints
Göksel Mısırlı
2023
置信度 0.74
-
crossref
René Inckemann
2022-09-29T13:33:52Z
置信度 0.70
-
crossref
Gregory Bokinsky, Dan Groff, Jay Keasling
2013-09-06T18:36:25Z
置信度 0.70
-
Abstract The advent of generative machine learning models has revolutionized de novo design of protein binders. However, the wide adoption of this revolution is bottlenecked by computational cost. For many targets, binder design commonly requires computational…
europepmc
Leonardo Almeida-Souza
2026
置信度 0.80
-
crossref
Vsevolod V (Seva) Gurevich
2015-10-26T02:56:14Z
置信度 0.70
-
crossref
Fatima Enam
2021-01-07T03:43:16Z
置信度 0.70
-
crossref
Pooja Bhatia Archana Chugh
2013-12-20T04:55:13Z
置信度 0.70
-
crossref
Matthias Heinemann, Sven Panke
2009-09-22T20:46:30Z
置信度 0.70
-
crossref
Cliff Hooker
2009-09-22T20:46:30Z
置信度 0.70
-
crossref
Melanie Brasch, Jeroen J. L. M. Cornelissen, Melissa S. T. Koay
2014-06-02T14:28:59Z
置信度 0.70
-
crossref
2018-04-24T02:33:50Z
置信度 0.70
-
crossref
Anniek den Hamer, Bas J. H. M. Rosier, Luc Brunsveld, Tom F. A. de Greef
2017-12-18T10:37:25Z
置信度 0.70
-
Abstract Most members of the synthetic biology community, particularly plant scientists, lack access to liquid handling robots to scale up experiments, enhance reproducibility, and accelerate the Design, Build, Test, Learn cycle. Biofoundries enable high throu…
preprints
Moni Qiande, Abigail Lin, Lianna Larson, Cătălin Voiniciuc
2025
置信度 0.74
-
crossref
J. Haseloff
2007-09-25T15:06:55Z
置信度 0.70
-
crossref
Jacques Ricard
2015-11-03T12:55:13Z
置信度 0.70
-
crossref
2016-09-05T05:01:45Z
置信度 0.70
-
Abstract Background Understanding how spatial patterns of gene expression emerge from the interaction of individual gene networks is a fundamental challenge in biology. Developing a synthetic experimental system with a common theoretical framework that capture…
crossref
Kevin Simpson, Alfredo L’Homme, Juan Keymer, Fernán Federici
2023-05-12T00:00:35Z
置信度 0.70
-
crossref
Jürgen Robienski, Jürgen Simon, Rainer Paslack
2015-11-26T13:46:42Z
置信度 0.70
-
Synthetic biology is one of the 21st century’s fastest growing fields of research. Building on traditional genetic engineering, synthetic biology uses multi-gene modules and pathways to make very significant changes to what cells can do. Synthetic Biology: A V…
crossref
Jamie A. Davies
2018-07-26T06:20:43Z
置信度 0.70
-
crossref
Pengcheng Fu, Cliff Hooker
2009-09-22T20:46:30Z
置信度 0.70
-
crossref
Leyma Pérez, De Haro
2024-08-08T18:41:23Z
置信度 0.70
-
Mammalian cells represent a challenge and opportunity for synthetic biology. The toolbox of regulators implemented in mammalian cells includes small molecule- or physical stimulus-responsive elements from bacteria, yeast and plants, and designed nucleic acid b…
crossref
Jan Lonzaric, Tina Fink, Roman Jerala
2017-12-18T10:37:25Z
置信度 0.70
-
crossref
Jordi Vallverdú, Claes Gustafsson
2009-09-22T20:46:30Z
置信度 0.70
-
crossref
Konstantinos Vavitsas
2020-04-10T19:19:17Z
置信度 0.70
-
crossref
Prachi Nawkarkar, Shashi Kumar
2026-05-17T22:18:23Z
置信度 0.70
-
crossref
Sacha Loeve
2015-11-26T08:46:42Z
置信度 0.70
-
crossref
Marcus Dymond
2016-04-07T23:28:32Z
置信度 0.70
-
crossref
Markus Schmidt, Malcolm Dando, Anna Deplazes
2011-06-21T08:13:02Z
置信度 0.70