Bioinformatics | Computational Biology | Genomics Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge. July 3, 2024
Bioinformatics | Molecular Biology GPSFun: geometry-aware protein sequence function predictions with language models. May 13, 2024
Bioinformatics | Drug Discovery | Molecular Biology Genome-scale annotation of protein binding sites via language model and geometric deep learning. April 17, 2024
Oncology | Pathology | Radiology Applying image features of proximal paracancerous tissues in predicting prognosis of patients with hepatocellular carcinoma. March 27, 2024
Bioinformatics | Oncology An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome. February 28, 2024
Bioinformatics | Drug Discovery | Pharmacology The recent progress of deep-learning-based in silico prediction of drug combination. May 26, 2023
Bioinformatics | Computational Biology | Immunology Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model. April 11, 2023
Bioinformatics | Computational Biology | Genomics EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning. December 27, 2022
Drug Discovery | Pharmacology DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design. November 21, 2022
Bioinformatics | Computational Biology | Pathology Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks. July 18, 2022
Bioinformatics | Chemoinformatics Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP. June 10, 2022
Bioinformatics | Genomics | Neuroscience Capturing large genomic contexts for accurately predicting enhancer-promoter interactions. January 21, 2022