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Taedong Yun
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Year
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
6552022
Accurate, scalable cohort variant calls using DeepVariant and GLnexus
T Yun, H Li, PC Chang, MF Lin, A Carroll, CY McLean
Bioinformatics, 2021
1132021
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
67*2023
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
252022
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
242021
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
162021
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
122021
Underspecification presents challenges for credibility in modern machine learning. arXiv
A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
102020
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
52023
Diagrams of affine permutations and their labellings
T Yun
Massachusetts Institute of Technology, 2013
42013
Rainbow graphs and switching classes
S Oh, H Yoo, T Yun
SIAM Journal on Discrete Mathematics 27 (2), 1106-1111, 2013
42013
Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction
T Yun, J Cosentino, B Behsaz, ZR McCaw, D Hill, R Luben, D Lai, J Bates, ...
medRxiv, 2023.04. 28.23289285, 2023
32023
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
22023
Improved non-human variant calling using species-specific DeepVariant models
T Yun, C McLean, PC Chang, A Carroll
22019
Diagrams of affine permutations, balanced labellings, and symmetric functions
H Yoo, T Yun
arXiv preprint arXiv:1305.0129, 2013
22013
Balanced labellings of affine permutations
H Yoo, T Yun
Discrete Mathematics & Theoretical Computer Science, 2013
22013
Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseases
T Yun, J Cosentino, B Behsaz, ZR McCaw, D Hill, R Luben, D Lai, J Bates, ...
medRxiv, 2023
12023
Utilizing multimodal AI to improve genetic analyses of cardiovascular traits
Y Zhou, JT Cosentino, T Yun, MI Biradar, J Shreibati, D Lai, ...
medRxiv, 2024.03. 19.24304547, 2024
2024
Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction
T Yun
arXiv preprint arXiv:2307.08893, 2023
2023
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Articles 1–19