Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network

Co-expression network analysis provides useful information for studying gene regulation in biological processes. Examining condition-specific patterns of co-expression can provide insights into the underlying cellular processes activated in a particular condition. One challenge in this type of analy...

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Vydané v:	PLoS computational biology Ročník 14; číslo 9; s. e1006436
Hlavní autori:	Lyu, Yafei, Xue, Lingzhou, Zhang, Feipeng, Koch, Hillary, Saba, Laura, Kechris, Katerina, Li, Qunhua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 01.09.2018 Public Library of Science (PLoS)
Predmet:	Algorithms Animals Area Under Curve Biological activity Biology and Life Sciences Brain - metabolism Breast cancer Breast Neoplasms - genetics Breast Neoplasms - metabolism Cancer Clustering College campuses Computer and Information Sciences Computer Graphics Computer Simulation Databases, Factual Datasets Female Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene regulation Genes Genomes Genomics Graphic methods Heart Heterogeneity Humans Male Medicine and Health Sciences Metastasis Methods Modules Myocardium - metabolism Neoplasms - metabolism Network analysis Network hubs Normal Distribution Pharmaceutical sciences Physical Sciences Rats Regulatory mechanisms (biology) Research and Analysis Methods Software Sparsity Statistical inference Statistical methods Trends Tumors Variables United States > US Colorado Pennsylvania
ISSN:	1553-7358, 1553-734X, 1553-7358
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