Bioinformatics | Pharmacology Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information. January 19, 2024
Bioinformatics | Chemistry | Drug Discovery Exploring chemical space for lead identification by propagating on chemical similarity network. September 8, 2023
Bioinformatics | Pharmacology | Precision Medicine Improved drug response prediction by drug target data integration via network-based profiling. February 8, 2023
Bioinformatics | Chemistry | Drug Discovery On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach. September 2, 2022
Bioinformatics | Epidemiology | Infectious Diseases AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning. April 26, 2022
Bioinformatics | Computational Biology | Proteomics Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space. May 6, 2021
Bioinformatics | Oncology | Pharmacogenomics DRIM: A Web-Based System for Investigating Drug Response at the Molecular Level by Condition-Specific Multi-Omics Data Integration. December 7, 2020
Bioinformatics | Genomics Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent Space. November 2, 2020
Bioinformatics | Oncology Cancer subtype classification and modeling by pathway attention and propagation. March 24, 2020