Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning.

Tzu-Chieh LinCheng-Hung TsaiCheng-Kai ShiauJia-Hsin HuangHuai-Kuang Tsai

Published in: BMC genomics (2024)

In conclusion, our finding highlights the potential role of promoter-bound TFBSs in influencing the regulation of downstream splicing patterns and provides insights for discovering alternative splicing regulations.

Keyphrases

transcription factor
deep learning
dna methylation
gene expression
dna binding
genome wide identification
convolutional neural network
human health