Results 11 to 20 of about 166,926 (313)
Network neutrality inference [PDF]
ACM SIGCOMM Computer Communication Review, 2014 When can we reason about the neutrality of a network based on external observations? We prove conditions under which it is possible to (a) detect neutrality violations and (b) localize them to specific links, based on external observations. Our insight is that, when we make external observations from different vantage points, these will most likely be ...
Zhang Zhiyong +2 more
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Microorganisms, 2021 Corynebacterium glutamicum is a Gram-positive bacterium found in soil where the condition changes demand plasticity of the regulatory machinery. The study of such machinery at the global scale has been challenged by the lack of data integration. Here, we
Juan M. Escorcia-Rodríguez +2 more
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FINET: Fast Inferring NETwork [PDF]
BMC Research Notes, 2019 Abstract Objectives Numerous software has been developed to infer the gene regulatory network, a long-standing key topic in biology and computational biology. Yet the slowness and inaccuracy inherited in current software hamper their applications to the increasing massive
Anyou Wang, Rong Hai
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Journal of Integrative Bioinformatics, 2021 Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for mRNA as well ...
Wani Nisar, Barh Debmalya, Raza Khalid
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Inferring cellular networks – a review [PDF]
BMC Bioinformatics, 2007 In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show that most currently used methods can be organized by a few key concepts. The first part of the review deals with conditional independence models including Gaussian graphical ...
Markowetz, Florian, Spang, Rainer
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Inferring network structure from cascades [PDF]
Physical Review E, 2017 Many physical, biological, and social phenomena can be described by cascades taking place on a network. Often, the activity can be empirically observed, but not the underlying network of interactions. In this paper we offer three topological methods to infer the structure of any directed network given a set of cascade arrival times.
Ghonge, Sushrut, Vural, Dervis Can
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Frontiers in Genetics, 2022 Accurate determination of causalities between genes is a challenge in the inference of gene regulatory networks (GRNs) from the gene expression profile.
Zhigang Jia +3 more
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Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms
Frontiers in Genetics, 2021 Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research.
Yoonjee Kang +2 more
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Gene networks inference using dynamic Bayesian networks [PDF]
Bioinformatics, 2003 Abstract This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed.
Bruno-Edouard, Perrin +5 more
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High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering
Frontiers in Genetics, 2019 Studying the impact of genetic variation on gene regulatory networks is essential to understand the biological mechanisms by which genetic variation causes variation in phenotypes. Bayesian networks provide an elegant statistical approach for multi-trait
Lingfei Wang +6 more
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