Taehyun Hwang

First name
Taehyun
Last name
Hwang
Hwang, Taehyun, Wei Zhang, Maoqiang Xie, Jinfeng Liu, and Rui Kuang. 2011. “Inferring Disease and Gene Set Associations With Rank Coherence in Networks”. Bioinformatics 27. Oxford University Press: 2692-99.
Hwang, Taehyun, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre Kocher, Dennis A Wigle, Vipin Kumar, and Rui Kuang. 2008. “Robust and Efficient Identification of Biomarkers by Classifying Features on Graphs”. Bioinformatics 24. Oxford University Press: 2023-29.
Xie, Maoqiang, YingJie Xu, YaoGong Zhang, Taehyun Hwang, and Rui Kuang. 2015. “Network-Based Phenome-Genome Association Prediction by Bi-Random Walk”. PloS One 10. Public Library of Science San Francisco, CA USA: e0125138.
Tian, Ze, Taehyun Hwang, and Rui Kuang. 2009. “A Hypergraph-Based Learning Algorithm for Classifying Gene Expression and ArrayCGH Data With Prior Knowledge”. Bioinformatics 25. Oxford University Press: 2831-38.
Xie, Maoqiang, Taehyun Hwang, and Rui Kuang. 2012. “Prioritizing Disease Genes by Bi-Random Walk”. In Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29&Mdash;June 1, 2012, Proceedings, Part II 16, 292-303. Springer.
Hwang, Taehyun, Gowtham Atluri, Maoqiang Xie, Sanjoy Dey, Changjin Hong, Vipin Kumar, and Rui Kuang. 2012. “Co-Clustering Phenome-Genome for Phenotype Classification and Disease Gene Discovery”. Nucleic Acids Research 40. Oxford University Press: e146—e146.
Tian, Ze, Taehyun Hwang, and Rui Kuang. 2009. “A Hypergraph-Based Learning Algorithm for Classifying Arraycgh Data With Spatial Prior”. In 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 1-4. IEEE.
Hwang, Taehyun, and Rui Kuang. 2010. “A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery”. In Proceedings of the 2010 SIAM International Conference on Data Mining, 583-94. SIAM.
Hwang, Taehyun, Ze Tian, Rui Kuangy, and Jean-Pierre Kocher. 2008. “Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction”. In 2008 Eighth IEEE International Conference on Data Mining, 293-302. IEEE.