Empirical Bayes conditional independence graphs for regulatory network recovery

Motivation: Computational inference methods that make use of graphical models to extract regulatory networks from gene expression data can have difficulty reconstructing dense regions of a network, a consequence of both computational complexity and unreliable parameter estimation when sample size is...

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Main Authors: Mahdi, Rami, Madduri, Abishek S., Wang, Guoqing, Strulovici-Barel, Yael, Salit, Jacqueline, Hackett, Neil R., Crystal, Ronald G., Mezey, Jason G.
Formáid: Artigo
Teanga:Inglês
Foilsithe: Oxford University Press 2012
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Original Papers
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3400959/
https://ncbi.nlm.nih.gov/pubmed/22685074
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts312
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