229 citations · 291 across the 5 of their papers we have counts for
5 papers
Progress and Opportunities of Foundation Models in Bioinformatics
Qing Li, Zhihang Hu, Yixuan Wang +5
Bioinformatics has witnessed a paradigm shift with the increasing integration of artificial intelligence (AI), particularly through the adoption of foundation models (FMs). These A…
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Tao Shen, Zhihang Hu, Siqi Sun +14
Accurate prediction of RNA three-dimensional (3D) structure remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing…
Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Jiayang Chen, Zhihang Hu, Siqi Sun +9
Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations. Th…
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…