Cory Y McLean

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Convolutional Neural Network

Genome Wide Association

Top Venues

Nature genetics

medRxiv : the preprint server for health sciences

PLOS global public health

Nature biotechnology

This page only lists publications with an associated author ORCID identifier.

Publications

Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Yuchen Zhou, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature genetics (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Yuchen Zhou, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature genetics (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yuan Liu, Goodarz Danaei, Diego Ardila
Predicting cardiovascular disease risk using photoplethysmography and deep learning. PLOS global public health 4 (6) (2024)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Yuchen Zhou, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature genetics 56 (8) (2024)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Yuchen Zhou, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature genetics 56 (8) (2024)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Yuchen Zhou, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and prediction. Nature genetics 56 (8) (2024)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction. medRxiv : the preprint server for health sciences (2023)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction. medRxiv : the preprint server for health sciences (2023)
Justin Cosentino, Babak Behsaz, Babak Alipanahi, Zachary Ryan McCaw, Davin Hill, Tae-Hwi Schwantes-An, Dongbing Lai, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Nature genetics (2023)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction. medRxiv : the preprint server for health sciences (2023)
Taedong Yun, Justin Cosentino, Babak Behsaz, Zachary Ryan McCaw, Davin Hill, Robert N Luben, Dongbing Lai, John Bates, Howard Yang, Tae-Hwi Schwantes-An, Anthony P Khawaja, Andrew Carroll, Brian D Hobbs, Michael H Cho, Cory Y McLean, Farhad Hormozdiari
Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction. medRxiv : the preprint server for health sciences (2023)
Zachary Ryan McCaw, Thomas Colthurst, Taedong Yun, Nicholas A Furlotte, Andrew Carroll, Babak Alipanahi, Cory Y McLean, Farhad Hormozdiari
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power. Nature communications 13 (1) (2022)
Gunjan Baid, Daniel E Cook, Kishwar Shafin, Taedong Yun, Felipe Llinares-López, Quentin Berthet, Anastasiya Belyaeva, Armin Töpfer, Aaron M Wenger, William J Rowell, Howard Yang, Alexey Kolesnikov, Waleed Ammar, Jean-Philippe Vert, Ashish Vaswani, Cory Y McLean, Maria Nattestad, Pi-Chuan Chang, Andrew Carroll
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformer. Nature biotechnology (2022)
Jared Oâ Connell, Taedong Yun, Meghan Moreno, Helen Li, Nadia Litterman, Alexey Kolesnikov, Elizabeth Noblin, Pi-Chuan Chang, Anjali Shastri, Elizabeth H Dorfman, Suyash S Shringarpure, null null, Adam Auton, Andrew Carroll, Cory Y McLean
A population-specific reference panel for improved genotype imputation in African Americans. Communications biology 4 (1) (2021)
David R Kelley, Yakir A Reshef, Maxwell Bileschi, David Belanger, Cory Y McLean, Jasper Snoek
Sequential regulatory activity prediction across chromosomes with convolutional neural networks. Genome research 28 (5) (2018)