Articles with public access mandates - Taedong YunLearn more
Available somewhere: 6
Accurate, scalable cohort variant calls using DeepVariant and GLnexus
T Yun, H Li, PC Chang, MF Lin, A Carroll, CY McLean
Bioinformatics, 2021
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: UK Medical Research Council
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
Mandates: Cancer Research UK, UK Medical Research Council, UK Research & Innovation
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
Mandates: US National Institutes of Health
Utilizing multimodal AI to improve genetic analyses of cardiovascular traits
Y Zhou, J Cosentino, T Yun, MI Biradar, J Shreibati, D Lai, ...
medRxiv, 2024
Mandates: British Heart Foundation, Cancer Research UK, UK Medical Research Council …
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