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Improved Inference of Gene Regulatory Networks through Integrated Bayesian Clustering and Dynamic Modeling of Time-Course Expression Data

Inferring gene regulatory networks from expression data is difficult, but it is common and often useful. Most network problems are under-determined–there are more parameters than data points–and therefore data or parameter set reduction is often necessary. Correlation between variables in the model...

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Bibliografski detalji
Glavni autor: Godsey, Brian
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2013
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3720774/
https://ncbi.nlm.nih.gov/pubmed/23935862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0068358
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