Michael H. Cho

Orcid: 0000-0002-4907-1657

According to our database1, Michael H. Cho authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Fast computation of the eigensystem of genomic similarity matrices.
BMC Bioinform., December, 2024

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest.
BMC Bioinform., December, 2022

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., 2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.
PLoS Comput. Biol., 2021

A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests.
Bioinform., 2021

Crowdclustering with Partition Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE Trans. Medical Imaging, 2017

Clustering with Domain-Specific Usefulness Scores.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies.
Proceedings of the Information Processing in Medical Imaging, 2017

Multiple Clustering Views from Multiple Uncertain Experts.
Proceedings of the 34th International Conference on Machine Learning, 2017

Clustering from Multiple Uncertain Experts.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Inferring Disease Status by Non-parametric Probabilistic Embedding.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Interpretable Clustering via Discriminative Rectangle Mixture Model.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Generative Method to Discover Genetically Driven Image Biomarkers.
Proceedings of the Information Processing in Medical Imaging, 2015

A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease.
BMC Syst. Biol., 2014

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD.
BMC Syst. Biol., 2014

On the simultaneous association analysis of large genomic regions: a massive multi-locus association test.
Bioinform., 2014

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease.
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.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014