Tae Hyun Hwang

发表

Bayesian semi-nonnegative matrix tri-factorization to identify pathways associated with cancer phenotypes.

Sunho Park, Nabhonil Kar, Jae Ho Cheong, 2019 .

Network-based learning algorithms for understanding human disease

Tae Hyun Hwang, T. Hwang, 2011 .

Statistical Local Binary Patterns (SLBP): Application to Prostate Cancer Gleason Score Prediction from Whole Slide Pathology Images

Hongming Xu, Tae Hyun Hwang, 2018 .

Automatic Classification of Prostate Cancer Gleason Scores from Digitized Whole Slide Tissue Biopsies

Tae Hyun Hwang, Hongming Xu, Sunhoh Park, 2018 .

Bayesian semi-nonnegative matrix tri-factorization to identify pathways associated with cancer phenotypes

Sunho Park, Nabhonil Kar, Jae Ho Cheong, 2020, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images

Hongming Xu, Sunho Park, Tae Hyun Hwang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Gaussian Process Based Heteroscedastic Noise Modeling for Tumor Mutation Burden Prediction from Whole Slide Images

Sunho Park, Hongming Xu, Tae Hyun Hwang, 2019, bioRxiv.

Statistical Local Binary Patterns (SLBP): Application to Prostate Cancer Gleason Score Prediction from Whole Slide Pathology Images

Tae Hyun Hwang, Hongming Xu, Hongming Xu, 2018, bioRxiv.

Purine synthesis promotes maintenance of brain tumor initiating cells in glioma

Aviv Regev, Qi Xie, Tae Hyun Hwang, 2017, Nature Neuroscience.

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types

Jeongsik Yong, Sunho Park, Jae Ho Cheong, 2015 .

Bayesian Semi-nonnegative Tri-matrix Factorization to Identify Pathways Associated with Cancer Types

Sunho Park, Tae Hyun Hwang, 2017 .