Rui Kuang

Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang: Signed network propagation for detecting differential gene expressions and DNA copy number variations. BCB 2012: 337-344

Nicholas Johnson, Gang Fang, Rui Kuang: Approximate subspace pattern mining for mapping copy-number variations. BCB 2012: 616

Hong Cai, Changjin Hong, Jianying Gu, Timothy G. Lilburn, Rui Kuang, Yufeng Wang: Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments. BIBM 2012: 1-6

Ze Tian, Huanan Zhang, Rui Kuang: Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations. ICDM 2012: 665-674

Maoqiang Xie, TaeHyun Hwang, Rui Kuang: Prioritizing Disease Genes by Bi-Random Walk. PAKDD (2) 2012: 292-303

Ze Tian, Rui Kuang: Global Linear Neighborhoods for Efficient Label Propagation. SDM 2012: 863-872

TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang: Inferring disease and gene set associations with rank coherence in networks. Bioinformatics 27(19): 2692-2699 (2011)

TaeHyun Hwang, Wei Zhang, Maoqiang Xie, Rui Kuang: Inferring Disease and Gene Set Associations with Rank Coherence in Networks. CoRR abs/1102.3919 (2011)

Ze Tian, Rui Kuang: Integrative classification and analysis of multiple arrayCGH datasets with probe alignment. Bioinformatics 26(18): 2313-2320 (2010)

Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar: Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. BICoB 2010: 171-177

Wei Zhang, Baryun Hwang, Baolin Wu, Rui Kuang: Network propagation models for gene selection. GENSiPS 2010: 1-4

Julie A. Jacko, Terrence Adam, Bonnie L. Westra, Marty Witrak, Ron Berkeland, Andrew F. Nelson, Adel L. Ali, Layne Johnson, Rui Kuang, Kathy LaTour, Sandra Potthoff, Amy Watters: Launching: university partnership for health informatics. IHI 2010: 521-525

Gang Fang, Rui Kuang, Gaurav Pandey, Michael Steinbach, Chad L. Myers, Vipin Kumar: Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing 2010: 145-156

TaeHyun Hwang, Rui Kuang: A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery. SDM 2010: 583-594

Ze Tian, TaeHyun Hwang, Rui Kuang: A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge. Bioinformatics 25(21): 2831-2838 (2009)

Thanh T. Ngo, Rui Kuang: Partial profile alignment kernels for protein classification. GENSiPS 2009: 1-4

Ze Tian, TaeHyun Hwang, Rui Kuang: A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior. GENSiPS 2009: 1-4

Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang: Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. SDM 2009: 133-144

TaeHyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang: Robust and efficient identification of biomarkers by classifying features on graphs. Bioinformatics 24(18): 2023-2029 (2008)

TaeHyun Hwang, Ze Tian, Rui Kuang, Jean-Pierre Kocher: Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction. ICDM 2008: 293-302

Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics 8(S-4) (2007)

Jason Weston, Rui Kuang, Christina S. Leslie, William Stafford Noble: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics 7(S-1) (2006)

Rui Kuang, Jason Weston, William Stafford Noble, Christina S. Leslie: Motif-based protein ranking by network propagation. Bioinformatics 21(19): 3711-3718 (2005)

Rui Kuang, Christina S. Leslie, An-Suei Yang: Protein backbone angle prediction with machine learning approaches. Bioinformatics 20(10): 1612-1621 (2004)

Christina S. Leslie, Rui Kuang: Fast String Kernels using Inexact Matching for Protein Sequences. Journal of Machine Learning Research 5: 1435-1455 (2004)

Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie: Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB 2004: 152-160

Christina S. Leslie, Rui Kuang: Fast Kernels for Inexact String Matching. COLT 2003: 114-128