Human B-cell transcriptional regulatory network

<p>The human B-cell regulatory network was reverse engineered by the ARACNe algorithm (PMID 16723010) from 254 samples including normal (naive and greminal center B-cells), several tumor phnotypes (B-cell lymphomas) and cell lines. Gene expression was profiled on Affymetrix H-GU95Av2 arrays, processed by the cleaner algorithm (PMID 20042104), and normalized with MAS5 (affy package from Bioconductor). The regulatory network ('regul', 633 transcription factors regulating 6,403 target genes through 173,539 interactions) and the expression dataset used to assemble it ('dset', 254 samples x 6,403 probe-sets) are included as an R-system binary file.