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xcore: an R package for inference of gene expression regulators
[article]
2022
bioRxiv
pre-print
Elucidating the Transcription Factors (TFs) that drive the gene expression changes in a given experiment is one of the most common questions asked by researchers. The existing methods rely on the predicted Transcription Factor Binding Site (TFBS) to model the changes in the motif activity. Such methods only work for TFs that have a motif and assume TF binding profile is the same in all cell types. Given the wealth of the ChIP-seq data available for a wide range of the TFs in various cell types,
doi:10.1101/2022.02.23.481130
fatcat:c2sligzbujbqzoukikg6uczaqe