Human B-cell transcriptional regulatory network

2013-05-21T17:17:07Z (GMT) by Mariano Alvarez

The human B-cell regulatory network was reverse engineered by the ARACNe algorithm (PMID 16723010) from 264 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-GU133Plus2 arrays, processed by the cleaner algorithm (PMID 20042104), and normalized with MAS5 (affy package from Bioconductor). The regulatory network ('regul', 1,223 transcription factors regulating 13,007 target genes through 327,837 interactions) and the expression dataset used to assemble it ('dset', 264 samples x 13,007 probe-sets) are included as an R-system binary file.