TaeHyun Hwang

Inferring disease and gene set associations with rank coherence in networks

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

Convex Optimization for Binary Classifier Aggregation in Multiclass Problems pdf

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

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.

Robust and efficient identification of biomarkers by classifying features on graphs

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

Transfer learning across ontologies for phenome‐genome association prediction

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

A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery

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

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

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

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).

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.

Prioritizing Disease Genes by Bi-Random Walk

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