| Deep learning for fast spatially varying deconvolution K Yanny, K Monakhova, RW Shuai, L Waller Optica 9 (1), 96-99, 2022 | 76 | 2022 |
| IgLM: Infilling language modeling for antibody sequence design RW Shuai, JA Ruffolo, JJ Gray Cell Systems 14 (11), 979-989. e4, 2023 | 72* | 2023 |
| Unlocking de novo antibody design with generative artificial intelligence A Shanehsazzadeh, S Bachas, M McPartlon, G Kasun, JM Sutton, ... bioRxiv, 2023.01. 08.523187, 2023 | 21 | 2023 |
| Personal transcriptome variation is poorly explained by current genomic deep learning models C Huang, RW Shuai, P Baokar, R Chung, R Rastogi, P Kathail, ... Nature Genetics 55 (12), 2056-2059, 2023 | 14 | 2023 |
| Unlocking de novo antibody design with generative artificial intelligence. bioRxiv A Shanehsazzadeh, S Bachas, M McPartlon, G Kasun, JM Sutton, ... Posted online January, 2023 | 8 | 2023 |
| TET1 controls Cxcl1 induction by DNA demethylation and promotes neutrophil recruitment during acute lung injury KM Yee, RW Shuai, B Liu, CA Huynh, C Niu, HR Lee, MS Lee, J Wen, ... bioRxiv, 2021.09. 07.459280, 2021 | 1 | 2021 |
| Multiwienernet: Deep learning for fast shift-varying deconvolution RW Shuai, K Yanny, K Monakhova, L Waller Computational Optical Sensing and Imaging, CTh5A. 5, 2021 | 1 | 2021 |
| Characterizing uncertainty in predictions of genomic sequence-to-activity models A Bajwa, R Rastogi, P Kathail, RW Shuai, N Ioannidis Machine Learning in Computational Biology, 279-297, 2024 | | 2024 |
| Identification of Kidney Cell-Type-Specific Regulatory Elements Reveals Genetic Variants, Genes, and Cell Types Influencing Kidney Function Heritability: FR-PO305 G Loeb, P Kathail, RW Shuai, KK Cheung, RK Chung, N Ioannidis, ... Journal of the American Society of Nephrology 33 (11S), 408, 2022 | | 2022 |
| Deep learning for fast spatially-varying deconvolution: supplemental materials K YANNY, K MONAKHOVA, RW SHUAI, L WALLER | | |
| Assessing the utility of genomic deep learning models for disease-relevant variant effect prediction P Kathail, R Shuai, R Chung, CJ Ye, G Loeb, NM Ioannidis International Conference on Machine Learning (ICML) Workshop on …, 0 | | |
Jeffrey J. GrayJohns Hopkins University, Chemical and Biomolecular Engineering / Program in Molecular BiophysicsVerified email at jhu.edu
