Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning.
Journal:
BMC genomics
PMID:
39227799
Abstract
BACKGROUND: Alternative splicing is a pivotal mechanism of post-transcriptional modification that contributes to the transcriptome plasticity and proteome diversity in metazoan cells. Although many splicing regulations around the exon/intron regions are known, the relationship between promoter-bound transcription factors and the downstream alternative splicing largely remains unexplored.