ARACNe-based inference, using curated microarray data, of Arabidopsis thaliana root transcriptional regulatory networks

BACKGROUND: Uncovering the complex transcriptional regulatory networks (TRNs) that underlie plant and animal development remains a challenge. However, a vast amount of data from public microarray experiments is available, which can be subject to inference algorithms in order to recover reliable TRN...

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Main Authors: Chávez Montes, Ricardo A, Coello, Gerardo, González-Aguilera, Karla L, Marsch-Martínez, Nayelli, de Folter, Stefan, Alvarez-Buylla, Elena R
格式: Artigo
語言:Inglês
出版: BioMed Central 2014
主題:
Research Article
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4021103/
https://ncbi.nlm.nih.gov/pubmed/24739361
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2229-14-97
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