HebbPlot: an intelligent tool for learning and visualizing chromatin mark signatures

BMC Bioinformatics

Table 2 High-CpG promoters have a different signature from that of low-CpG promoters

Active promoters in 57 tissues/cell types were divided into two groups according to their CpG contents. Then two networks were trained on the two groups, producing two signatures for each tissue/cell type. The two signatures of a mark in the same tissue were compared using the dotsim function. The average dotsim values are listed under “Average dotsim.” Not all marks were determined for all tissues. The number of tissues/cell types, for which a mark was determined, is listed under the column titled “Known”

ISSN: 1471-2105