Johnson, Nicholas, Huanan Zhang, Gang Fang, Vipin Kumar, and Rui Kuang. 2015. “SubPatCNV: Approximate Subspace Pattern Mining for Mapping Copy-Number Variations”. BMC Bioinformatics 16. Springer: 1-12.
Cancer Genomics
Zhang, Wei, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, and Rui Kuang. 2015. “Network-Based Isoform Quantification With RNA-Seq Data for Cancer Transcriptome Analysis”. PLoS Computational Biology 11. Public Library of Science San Francisco, CA USA: e1004465.
Zhang, Huanan, Ze Tian, and Rui Kuang. 2013. “Transfer Learning across Cancers on DNA Copy Number Variation Analysis”. In 2013 IEEE 13th International Conference on Data Mining, 1283-88. IEEE.
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, Tae Hyun, Gowtham Atluri, Rui Kuang, Vipin Kumar, Timothy Starr, Kevin AT Silverstein, Peter M Haverty, Zemin Zhang, and Jinfeng Liu. 2013. “Large-Scale Integrative Network-Based Analysis Identifies Common Pathways Disrupted by Copy Number Alterations across Cancers”. BMC Genomics 14. Springer: 1-13.
Zhang, Wei, Baryun Hwang, Baolin Wu, and Rui Kuang. 2010. “Network Propagation Models for Gene Selection”. In 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 1-4. IEEE.
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.