Mixing features of transcription factors and genes enables accurate prediction of gene regulation relationships for unknown transcription factors
Risa Okubo, Takashi Morikura, Yusuke Hiki, Yuta Tokuoka, Tetsuya J Kobayashi, Takahiro Yamada, Akira Funahashi
This paper introduces a deep learning model to predict gene regulation relationships for both known and unknown transcription factors, achieving higher accuracy for unknown TFs than existing methods.
NAR Genomics and Bioinformatics · Jan 6, 2026Peer-reviewedSystems Biology