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Michael H. Cho
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2020 – today
- 2024
- [j10]Georg Hahn, Sharon Marie Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange:
Fast computation of the eigensystem of genomic similarity matrices. BMC Bioinform. 25(1): 43 (2024) - [j9]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:
Partial correlation network analysis identifies coordinated gene expression within a regional cluster of COPD genome-wide association signals. PLoS Comput. Biol. 20(10): 1011079 (2024) - 2022
- [j8]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:
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. BMC Bioinform. 23(1): 547 (2022) - 2021
- [j7]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:
A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests. Bioinform. 36(22-23): 5432-5438 (2021) - [j6]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:
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 17(10) (2021) - [j5]Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange:
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. 31(3): 35 (2021)
2010 – 2019
- 2018
- [c10]Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian D. Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - 2017
- [j4]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:
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. IEEE Trans. Medical Imaging 36(1): 343-354 (2017) - [c9]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering from Multiple Uncertain Experts. AISTATS 2017: 28-36 - [c8]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Multiple Clustering Views from Multiple Uncertain Experts. ICML 2017: 674-683 - [c7]Jenna Schabdach, William M. Wells III, Michael H. Cho, Kayhan N. Batmanghelich:
A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies. IPMI 2017: 170-183 - [c6]Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy:
Clustering with Domain-Specific Usefulness Scores. SDM 2017: 207-215 - 2016
- [c5]Junxiang Chen, Yale Chang, Brian D. Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy:
Interpretable Clustering via Discriminative Rectangle Mixture Model. ICDM 2016: 823-828 - [c4]Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III:
Inferring Disease Status by Non-parametric Probabilistic Embedding. MCV/BAMBI@MICCAI 2016: 49-57 - 2015
- [c3]Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland:
Generative Method to Discover Genetically Driven Image Biomarkers. IPMI 2015: 30-42 - 2014
- [j3]Dandi Qiao, Michael H. Cho, Heide Loehlein Fier, Per S. Bakke, Amund Gulsvik, Edwin K. Silverman, Christoph Lange:
On the simultaneous association analysis of large genomic regions: a massive multi-locus association test. Bioinform. 30(2): 157-164 (2014) - [j2]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:
Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD. BMC Syst. Biol. 8: 78 (2014) - [j1]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:
A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease. BMC Syst. Biol. 8(S-2): S8 (2014) - [c2]Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland:
Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. BAMBI 2014: 107-117 - [c1]James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy:
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease. KDD 2014: 155-162
Coauthor Index
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last updated on 2024-12-02 22:27 CET by the dblp team
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