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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Detalles Bibliográficos
Autores principales: Chen, Guocai, Cairelli, Michael J., Kilicoglu, Halil, Shin, Dongwook, Rindflesch, Thomas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055569/
https://www.ncbi.nlm.nih.gov/pubmed/24921649
http://dx.doi.org/10.1371/journal.pcbi.1003666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055569/
https://www.ncbi.nlm.nih.gov/pubmed/24921649
http://dx.doi.org/10.1371/journal.pcbi.1003666

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