Taedong Yun

Underspecification Presents Challenges for Credibility in Modern Machine Learning

Alexander D’Amour, Katherine Heller, Dan Moldovan et al. · arXiv (Cornell University) · 2020 · 430 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Taedong Yun, Helen Li, Pi-Chuan Chang et al. · Bioinformatics · 2020 · 233 citations · Full text

DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer

Gunjan Baid, Daniel E. Cook, Kishwar Shafin et al. · Nature Biotechnology · 2022 · 145 citations

Sequence Modelling, Engineering, Machine Learning +9

A population-specific reference panel for improved genotype imputation in African Americans

Jared O’Connell, Taedong Yun, Meghan E. Moreno et al. · Communications Biology · 2021 · 68 citations · Full text

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Taedong Yun, Helen Li, Pi-Chuan Chang et al. · 2020 · 64 citations · Full text

Bioinformatics, Tool Glnexus, Genetics +15