Integrating convolution and self-attention improves language model of human genome for interpreting non-coding regions at base-resolution
Meng Yang, Lichao Huang, Haiping Huang, Hui Tang, Nan Zhang, Huanming Yang, Jihong Wu, Feng Mu
LOGO is a lightweight language model for interpreting non-coding regions of the human genome, achieving improved performance in promoter identification and enhancer-promoter interaction prediction.
Nucleic Acids Research · May 9, 2022Peer-reviewedBioinformatics