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Augmenting Microarray Data with Literature-Based Knowledge to Enhance Gene Regulatory Network Inference

Gene regulatory networks are a crucial aspect of systems biology in describing molecular mechanisms of the cell. Various computational models rely on random gene selection to infer such networks from microarray data. While incorporation of prior knowledge into data analysis has been deemed important...

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Detalhes bibliográficos
Main Authors: Chen, Guocai, Cairelli, Michael J., Kilicoglu, Halil, Shin, Dongwook, Rindflesch, Thomas C.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4055569/
https://ncbi.nlm.nih.gov/pubmed/24921649
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1003666
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