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Benchmark and integration of resources for the estimation of human transcription factor activities
2020
The prediction of transcription factor (TF) activities from the gene expression of their targets (i.e., TF regulon) is becoming a widely used approach to characterize the functional status of transcriptional regulatory circuits. Several strategies and data sets have been proposed to link the target genes likely regulated by a TF, each one providing a different level of evidence. The most established ones are (1) manually curated repositories, (2) interactions derived from ChIP-seq binding data,
doi:10.18154/rwth-2020-03288
fatcat:i44byepu4rhazc7apcgeankjg4