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.
Phenome-Genome Association
Petegrosso, Raphael, Sunho Park, Tae Hyun Hwang, and Rui Kuang. 2017. “Transfer Learning across Ontologies for Phenome-Genome Association Prediction”. Bioinformatics 33. Oxford University Press: 529-36.
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.
Zhang, Wei, Jeremy Chien, Jeongsik Yong, and Rui Kuang. 2017. “Network-Based Machine Learning and Graph Theory Algorithms for Precision Oncology”. NPJ Precision Oncology 1. Nature Publishing Group UK London: 25.
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.
Li, Zhuliu, Wei Zhang, Stephanie Huang, and Rui Kuang. 2019. “Learning a Low-Rank Tensor of Pharmacogenomic Multi-Relations from Biomedical Networks”. In 2019 IEEE International Conference on Data Mining (ICDM), 409-18. IEEE.
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.
Petegrosso, Raphael, Tianci Song, and Rui Kuang. 2020. “Hierarchical Canonical Correlation Analysis Reveals Phenotype, Genotype, and Geoclimate Associations in Plants”. Plant Phenomics. AAAS.
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.