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Michael H. Cho
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2020 – today
- 2024
- [j9]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) - 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
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
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models. PLoS Comput. Biol. 17(10) (2021) - [j5]Georg Hahn
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 Hobbs, Jennifer G. Dy:
Crowdclustering with Partition Labels. AISTATS 2018: 1127-1136 - 2017
- [j4]James C. Ross
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
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 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
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
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
Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD. BMC Syst. Biol. 8: 78 (2014) - [j1]Jörg Menche
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
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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