Michael H. Cho

According to our database, Michael H. Cho authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast computation of the eigensystem of genomic similarity matrices.

Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange

BMC Bioinform., December, 2024

2022

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest.

Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael H. Cho, Surender Khurana, Lindsey R. Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange

BMC Bioinform., December, 2022

2021

A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD).

Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange

Stat. Comput., 2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi

PLoS Comput. Biol., 2021

A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests.

Julian Hecker, F. William Townes, Priyadarshini Kachroo, Cecelia A. Laurie, Jessica Lasky-Su, John Ziniti, Michael H. Cho, Scott T. Weiss, Nan M. Laird, Christoph Lange

Bioinform., 2021

2018

Crowdclustering with Partition Labels.

Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.

James C. Ross, Peter J. Castaldi, Michael H. Cho, Junxiang Chen, Yale Chang, Jennifer G. Dy, Edwin K. Silverman, George R. Washko, Raúl San José Estépar

IEEE Trans. Medical Imaging, 2017

Clustering with Domain-Specific Usefulness Scores.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies.

Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich

Proceedings of the Information Processing in Medical Imaging, 2017

Multiple Clustering Views from Multiple Uncertain Experts.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 34th International Conference on Machine Learning, 2017

Clustering from Multiple Uncertain Experts.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Inferring Disease Status by Non-parametric Probabilistic Embedding.

Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Interpretable Clustering via Discriminative Rectangle Mixture Model.

Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Generative Method to Discover Genetically Driven Image Biomarkers.

Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2015

2014

A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease.

Jörg Menche, Amitabh Sharma, Michael H. Cho, Ruth J. Mayer, Stephen I. Rennard, Bartolome Celli, Bruce E. Miller, Nick Locantore, Ruth Tal-Singer, Soumitra Ghosh, Chris Larminie, Glyn Bradley, John H. Riley, Alvar Agusti, Edwin K. Silverman, Albert-László Barabási

BMC Syst. Biol., 2014

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD.

Jen-hwa Chu, Craig P. Hersh, Peter J. Castaldi, Michael H. Cho, Benjamin A. Raby, Nan M. Laird, Russell Bowler, Stephen I. Rennard, Joseph Loscalzo, John Quackenbush, Edwin K. Silverman

BMC Syst. Biol., 2014

On the simultaneous association analysis of large genomic regions: a massive multi-locus association test.

Dandi Qiao, Michael H. Cho, Heide Loehlein Fier, Per S. Bakke, Amund Gulsvik, Edwin K. Silverman, Christoph Lange

Bioinform., 2014

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease.

James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies.

Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland

Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014