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. | Nội dung Text ARACNe-based inference using curated microarray data of Arabidopsis thaliana root transcriptional regulatory networks