Richard W. Shuai
Institute of Biophysics(BG)Stanford University(US)
Publications by Year
Research Areas
Genomics and Chromatin Dynamics, Epigenetics and DNA Methylation, Monoclonal and Polyclonal Antibodies Research, Birth, Development, and Health, Renal and related cancers
Most-Cited Works
- → Deep learning for fast spatially varying deconvolution(2021)119 cited
- → IgLM: Infilling language modeling for antibody sequence design(2023)110 cited
- → Personal transcriptome variation is poorly explained by current genomic deep learning models(2023)95 cited
- → Unlocking de novo antibody design with generative artificial intelligence(2023)79 cited
- → An all-atom protein generative model(2024)61 cited
- → Generative language modeling for antibody design(2021)48 cited
- → Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function(2024)21 cited
- → Current genomic deep learning models display decreased performance in cell type-specific accessible regions(2024)14 cited
- → Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN(2025)6 cited