Michael H. Cho - researchr alias

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Viewing Publication 1 - 15 from 15

2024

Fast computation of the eigensystem of genomic similarity matricesGeorg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange 0003. bmcbi, 25(1):43, December 2024. [doi]

2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning modelsZifeng Wang 0002, 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. ploscb, 17(10), 2021. [doi]

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 0003. sac, 31(3):35, 2021. [doi]

A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden testsJulian 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 0003. bioinformatics, 36(22-23):5432-5438, 2021. [doi]

2018

Crowdclustering with Partition LabelsJunxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy. aistats 2018: 1127-1136 [doi]

2017

Clustering with Domain-Specific Usefulness ScoresYale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy. sdm 2017: 207-215 [doi]

Multiple Clustering Views from Multiple Uncertain ExpertsYale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy. icml 2017: 674-683 [doi]

Clustering from Multiple Uncertain ExpertsYale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy. aistats 2017: 28-36 [doi]

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema PhenotypesJames 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. tmi, 36(1):343-354, 2017. [doi]

A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale StudiesJenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich. ipmi 2017: 170-183 [doi]

2016

Inferring Disease Status by Non-parametric Probabilistic EmbeddingNematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III. miccai 2017: 49-57 [doi]

2014

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPDJen-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. bmcsb, 8:78, 2014. [doi]

A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary DiseaseJörg 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. bmcsb, 8(S-2), 2014. [doi]

On the simultaneous association analysis of large genomic regions: a massive multi-locus association testDandi Qiao, Michael H. Cho, Heide Fier, Per S. Bakke, Amund Gulsvik, Edwin K. Silverman, Christoph Lange. bioinformatics, 30(2):157-164, 2014. [doi]

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary diseaseJames C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy. kdd 2014: 155-162 [doi]

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