TaeHyun Hwang

发表

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

Sunho Park, Min-Su Kim, Beibei Chen, 2015, bioRxiv.

Co-clustering phenome–genome for phenotype classification and disease gene discovery

Vipin Kumar, R. Kuang, Sanjoy Dey, 2012, Nucleic acids research.

Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

Vipin Kumar, R. Kuang, Zemin Zhang, 2013, BMC Genomics.

TR 09-022 Prioritizing Disease Genes with Label Propagation on a Heterogeneous Network

TaeHyun Hwang, 2009 .

Network-based Phenome-Genome Association Prediction by Bi-Random Walk

R. Kuang, TaeHyun Hwang, Maoqiang Xie, 2015, PloS one.

Retraction. Reconstructing disease phenome-genome association by bi-random walk.

R. Kuang, TaeHyun Hwang, Maoqiang Xie, 2012, Bioinformatics.

TR 13-023 Reconstructing Disease Phenome-genome Association by Bi-Random Walk

R. Kuang, TaeHyun Hwang, Maoqiang Xie, 2013 .

Sparse robust matrix tri-factorization with application to cancer genomics

Georgios B. Giannakis, Seung-Jun Kim, TaeHyun Hwang, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

Identifying Clinical and Genetic Markers of Human Disease by Classifying Features on Graphs

Vipin Kumar, R. Kuang, J. Kocher, 2007 .

Divine: Prioritizing Genes for Rare Mendelian Disease in Whole Exome Sequencing Data

Yunku Yeu, TaeHyun Hwang, Changjin Hong, 2018, bioRxiv.

Network-based drug sensitivity prediction

Wei Zhang, Yunku Yeu, TaeHyun Hwang, 2020, BMC Medical Genomics.

Ja n 20 14 POSTECH-MLG-2014-001 Convex Optimization for Binary Classifier Aggregation in Multiclass Problems a

Seungjin Choi, TaeHyun Hwang, Sunho Park, 2014 .

Extra-Pulmonary Vein Triggers at de novo and the Repeat Atrial Fibrillation Catheter Ablation

J. Uhm, H. Pak, B. Joung, 2021, Frontiers in Cardiovascular Medicine.

A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery

TaeHyun Hwang, Rui Kuang, R. Kuang, 2010, SDM.

A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior

TaeHyun Hwang, Rui Kuang, Ze Tian, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Inferring disease and gene set associations with rank coherence in networks

TaeHyun Hwang, Wei Zhang, Maoqiang Xie, 2011, Bioinform..

A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge

TaeHyun Hwang, Rui Kuang, Ze Tian, 2009, Bioinform..

Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction

TaeHyun Hwang, Jean-Pierre A. Kocher, Rui Kuang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Prioritizing Disease Genes by Bi-Random Walk

Maoqiang Xie, TaeHyun Hwang, Rui Kuang, 2012, PAKDD.

Robust and efficient identification of biomarkers by classifying features on graphs

Vipin Kumar, Baolin Wu, TaeHyun Hwang, 2008, Bioinform..

Convex Optimization for Binary Classifier Aggregation in Multiclass Problems pdf

Sunho Park, Seungjin Choi, TaeHyun Hwang, 2014, SDM.

A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery

R. Kuang, TaeHyun Hwang, 2010, SDM.

Transfer learning across ontologies for phenome‐genome association prediction

Sunho Park, TaeHyun Hwang, Rui Kuang, 2016, Bioinform..

Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction

TaeHyun Hwang, Ze Tian, Rui Kuang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Inferring disease and gene set associations with rank coherence in networks

R. Kuang, Wei Zhang, TaeHyun Hwang, 2011, Bioinform..