Article
ARACNe-based inference, using curated microarray data, of Arabidopsis thaliana root transcriptional regulatory networks.
BMC plant biology - 16 Apr 2014
Chávez Montes Ricardo A, Coello Gerardo, González-Aguilera Karla L, Marsch-Martínez Nayelli, de Folter Stefan, Alvarez-Buylla Elena R
Abstract excerpt
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 architectures. RESULTS: In this study we present a simple bioinformatics methodology that uses public, carefully...
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