| Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... Journal of Machine Learning Research 23 (226), 1-61, 2022 | 724 | 2022 |
| Accurate, scalable cohort variant calls using DeepVariant and GLnexus T Yun, H Li, PC Chang, MF Lin, A Carroll, CY McLean Bioinformatics, 2021 | 130 | 2021 |
| DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer G Baid, DE Cook, K Shafin, T Yun, F Llinares-López, Q Berthet, ... Nature Biotechnology 41 (2), 232-238, 2023 | 83* | 2023 |
| A population-specific reference panel for improved genotype imputation in African Americans J O’Connell*, T Yun*, M Moreno, H Li, N Litterman, A Kolesnikov, E Noblin, ... Communications biology 4 (1), 1269, 2021 | 30 | 2021 |
| DeepNull models non-linear covariate effects to improve phenotypic prediction and association power ZR McCaw, T Colthurst, T Yun, NA Furlotte, A Carroll, B Alipanahi, ... Nature communications 13 (1), 241, 2022 | 27 | 2022 |
| DeepTrio: variant calling in families using deep learning A Kolesnikov, S Goel, M Nattestad, T Yun, G Baid, H Yang, CY McLean, ... bioRxiv, 2021.04. 05.438434, 2021 | 17 | 2021 |
| Sloe: A faster method for statistical inference in high-dimensional logistic regression S Yadlowsky, T Yun, CY McLean, A D'Amour Advances in neural information processing systems 34, 29517-29528, 2021 | 14 | 2021 |
| Improving variant calling using population data and deep learning NC Chen, A Kolesnikov, S Goel, T Yun, PC Chang, A Carroll BMC bioinformatics 24 (1), 197, 2023 | 7 | 2023 |
| Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction T Yun, J Cosentino, B Behsaz, ZR McCaw, D Hill, R Luben, D Lai, J Bates, ... Nature Genetics, 1-10, 2024 | 5* | 2024 |
| Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank D Hill, M Torop, A Masoomi, PJ Castaldi, EK Silverman, S Bodduluri, ... medRxiv, 2023 | 4 | 2023 |
| Diagrams of affine permutations and their labellings T Yun Massachusetts Institute of Technology, 2013 | 4 | 2013 |
| Rainbow graphs and switching classes S Oh, H Yoo, T Yun SIAM Journal on Discrete Mathematics 27 (2), 1106-1111, 2013 | 4 | 2013 |
| Improved non-human variant calling using species-specific DeepVariant models T Yun, C McLean, P Chang, A Carroll | 3 | 2023 |
| Diagrams of affine permutations, balanced labellings, and symmetric functions H Yoo, T Yun arXiv preprint arXiv:1305.0129, 2013 | 2 | 2013 |
| Balanced labellings of affine permutations H Yoo, T Yun Discrete Mathematics & Theoretical Computer Science, 2013 | 2 | 2013 |
| Utilizing multimodal AI to improve genetic analyses of cardiovascular traits Y Zhou, J Cosentino, T Yun, MI Biradar, J Shreibati, D Lai, ... medRxiv, 2024 | | 2024 |
| Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction T Yun arXiv preprint arXiv:2307.08893, 2023 | | 2023 |
Cory McLeanGoogle在 google.com 的电子邮件经过验证
