229 citations · 331 across the 9 of their papers we have counts for
4 papers · 1 filter
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration
Xuesong Wang, Zhihang Hu, Tingyang Yu +5
Muilti-modality data are ubiquitous in biology, especially that we have entered the multi-omics era, when we can measure the same biological object (cell) from different aspects (o…
CLMB: deep contrastive learning for robust metagenomic binning
Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang +1
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial function…
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
Qinze Yu, Zhihang Dong, Xingyu Fan +2
Identifying the targets of an antimicrobial peptide is a fundamental step in studying the innate immune response and combating antibiotic resistance, and more broadly, precision me…
Protein-RNA interaction prediction with deep learning: Structure matters
Junkang Wei, Siyuan Chen, Licheng Zong +2
Protein-RNA interactions are of vital importance to a variety of cellular activities. Both experimental and computational techniques have been developed to study the interactions.…