Michael H. Cho

21 papers A* 3A 3Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A framework to efficiently smooth L Comput. Stat. Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Julian Hecker, Dmitry Prokopenko, Sanghun Lee, Woojoo Lee, Michael H. Cho, Edwin K. Silverman, Christoph Lange
2024	J	`jnl`	Fast computation of the eigensystem of genomic similarity matrices. BMC Bioinform. Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange
2024	J	`jnl`	Partial correlation network analysis identifies coordinated gene expression within a regional cluster of COPD genome-wide association signals. PLoS Comput. Biol. Michele Gentili, Kimberly Glass, Enrico Maiorino, Brian D. Hobbs, Zhonghui Xu, Peter J. Castaldi, Michael H. Cho, Craig P. Hersh, Dandi Qiao, Jarrett D. Morrow, Vincent J. Carey, John Platig, Edwin K. Silverman
2022	J	`jnl`	Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. BMC Bioinform. 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
2021	J	`jnl`	A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). Stat. Comput. Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange
2021	J	`jnl`	A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests. Bioinform. 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
2021	J	`jnl`	Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 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
2018	A	`conf`	Crowdclustering with Partition Labels. AISTATS Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian D. Hobbs, Jennifer G. Dy
2017	J	`jnl`	A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans. Medical Imaging 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
2017	—	`conf`	A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. IPMI Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich
2017	A	`conf`	Clustering from Multiple Uncertain Experts. AISTATS Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2017	A	`conf`	Clustering with Domain-Specific Usefulness Scores. SDM Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2017	A*	`conf`	Multiple Clustering Views from Multiple Uncertain Experts. ICML Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy
2016	—	`conf`	Inferring Disease Status by Non-parametric Probabilistic Embedding. MCV/BAMBI@MICCAI Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III
2016	A*	`conf`	Interpretable Clustering via Discriminative Rectangle Mixture Model. ICDM Junxiang Chen, Yale Chang, Brian D. Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy
2015	—	`conf`	Generative Method to Discover Genetically Driven Image Biomarkers. IPMI Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland
2014	J	`jnl`	A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease. BMC Syst. Biol. 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
2014	J	`jnl`	Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD. BMC Syst. Biol. 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
2014	A*	`conf`	Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. KDD James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy
2014	J	`jnl`	On the simultaneous association analysis of large genomic regions: a massive multi-locus association test. Bioinform. Dandi Qiao, Michael H. Cho, Heide Loehlein Fier, Per S. Bakke, Amund Gulsvik, Edwin K. Silverman, Christoph Lange
2014	—	`conf`	Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. BAMBI Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland