Publications

  • CTFacTomo: Reconstructing 3D spatial structures of RNA tomography transcriptomes by collapsed tensor factorization, Tianci Song, Quoc Nguyen, Charles Broadbent, Rui Kuang, PLOS Computational Biology, 22, 3, e1013457, Public Library of Science, 2026
  • Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs, Tianci Song, Eric Cosatto, Gaoyuan Wang, Rui Kuang, Mark Gerstein, Martin Min, Jonathan Warrell, Bioinformatics, Special Issue of The Proceedings of The 23rd European Conference on Computational Biology (ECCB), 40, Supplement_2, ii111-ii119, Oxford University Press, 2024
  • Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition, Charles Broadbent, Tianci Song, Rui Kuang, Bioinformatics, Special Issue of The Proceedings of The 32nd International Conference on Intelligent Systems for Molecular Biology (ISMB), 40, Supplement_1, i529-i538, Oxford University Press, 2024, ⭐ Outstanding Student Paper
  • A ventriculomegaly feature computational pipeline to improve the screening of normal pressure hydrocephalus on CT, Sharada Sridhar, Rui Kuang, Jen Robb, Uzma Samadani, Journal of neurosurgery, 141, 3, 822-832, American Association of Neurological Surgeons, 2024
  • Structural neuroimaging markers of normal pressure hydrocephalus versus Alzheimer’s dementia and Parkinson’s disease, and hydrocephalus versus atrophy in chronic TBI—a narrative review, Sharada Sridhar, Jen Robb, Rishabh Gupta, Scarlett Cheong, Rui Kuang, Uzma Samadani, Frontiers in Neurology, 15, 1347200, Frontiers Media SA, 2024
  • Orchard: building large cancer phylogenies using stochastic combinatorial search, Ethan Kulman, Rui Kuang, Quaid Morris, PLoS computational biology, 20, 12, e1012653, Public Library of Science San Francisco, CA USA, 2024
  • GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations, Tianci Song, Charles Broadbent, Rui Kuang, Nature communications, 14, 1, 8276, Nature Publishing Group UK London, 2023
  • Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network, Tianci Song, Kathleen Markham, Zhuliu Li, Kristen Muller, Kathleen Greenham, Rui Kuang, Bioinformatics, 38, 5, 1344-1352, Oxford University Press, 2022
  • Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion, Zhuliu Li, Tianci Song, Jeongsik Yong, Rui Kuang, PLoS computational biology, 17, 4, e1008218, Public Library of Science San Francisco, CA USA, 2021
  • Scalable label propagation for multi-relational learning on the tensor product of graphs, Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang, IEEE Transactions on Knowledge and Data Engineering, 34, 12, 5964-5978, IEEE, 2021
  • Efficient sequencing, assembly, and annotation of human KIR haplotypes, David Roe, Jonathan Williams, Keyton Ivery, Jenny Brouckaert, Nick Downey, Chad Locklear, Rui Kuang, Martin Maiers, Frontiers in immunology, 11, 582927, Frontiers Media SA, 2020
  • Accurate and efficient KIR gene and haplotype inference from genome sequencing reads with novel K-mer signatures, David Roe, Rui Kuang, Frontiers in immunology, 11, 583013, Frontiers Media SA, 2020
  • A large-scale comparative study of isoform expressions measured on four platforms, Wei Zhang, Raphael Petegrosso, Jae-Woong Chang, Jiao Sun, Jeongsik Yong, Jeremy Chien, Rui Kuang, BMC genomics, 21, 1-14, Springer, 2020
  • Hierarchical canonical correlation analysis reveals phenotype, genotype, and geoclimate associations in plants, Raphael Petegrosso, Tianci Song, Rui Kuang, Plant Phenomics, AAAS, 2020
  • A detailed view of KIR haplotype structures and gene families as provided by a new motif-based multiple sequence alignment, David Roe, Cynthia Vierra-Green, Chul-Woo Pyo, Daniel Geraghty, Stephen Spellman, Martin Maiers, Rui Kuang, Frontiers in immunology, 11, 585731, Frontiers Media SA, 2020
  • Machine learning and statistical methods for clustering single-cell RNA-sequencing data, Raphael Petegrosso, Zhuliu Li, Rui Kuang, Briefings in bioinformatics, 21, 4, 1209-1223, Oxford University Press, 2020
  • Platform-integrated mRNA isoform quantification, Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang, Bioinformatics, 36, 8, 2466-2473, Oxford University Press, 2020
  • Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering, Ying Song, Tianci Song, Rui Kuang, Transactions in GIS, 23, 3, 558-578, Wiley Online Library, 2019
  • mTOR-regulated U2af1 tandem exon splicing specifies transcriptome features for translational control, Jae-Woong Chang, Hsin-Sung Yeh, Meeyeon Park, Luke Erber, Jiao Sun, Sze Cheng, Alexander Bui, Naima Fahmi, Ryan Nasti, Rui Kuang, others, Nucleic acids research, 47, 19, 10373-10387, Oxford University Press, 2019
  • Scalable remote homology detection and fold recognition in massive protein networks, Raphael Petegrosso, Zhuliu Li, Molly Srour, Yousef Saad, Wei Zhang, Rui Kuang, Proteins: Structure, Function, and Bioinformatics, 87, 6, 478-491, Wiley Online Library, 2019
  • Learning a low-rank tensor of pharmacogenomic multi-relations from biomedical networks, Zhuliu Li, Wei Zhang, Stephanie Huang, Rui Kuang, 2019 IEEE International Conference on Data Mining (ICDM), 409-418, IEEE, 2019
  • Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins, Amy Hauck, Tong Zhou, Wendy Hahn, Raphael Petegrosso, Rui Kuang, Yue Chen, David Bernlohr, Journal of Biological Chemistry, 293, 35, 13464-13476, Elsevier, 2018
  • An integrative model for alternative polyadenylation, IntMAP, delineates mTOR-modulated endoplasmic reticulum stress response, Jae-Woong Chang, Wei Zhang, Hsin-Sung Yeh, Meeyeon Park, Chengguo Yao, Yongsheng Shi, Rui Kuang, Jeongsik Yong, Nucleic acids research, 46, 12, 5996-6008, Oxford University Press, 2018
  • Vasodilator-stimulated phosphoprotein promotes liver metastasis of gastrointestinal cancer by activating a $\beta$1-integrin-FAK-YAP1/TAZ signaling pathway, Xiaoyu Xiang, Yuanguo Wang, Hongbin Zhang, Jinhua Piao, Selvaraj Muthusamy, Lei Wang, Yibin Deng, Wei Zhang, Rui Kuang, Daniel Billadeau, others, NPJ precision oncology, 2, 1, 2, Nature Publishing Group UK London, 2018
  • HRB2 and BBX21 interaction modulates Arabidopsis ABI5 locus and stomatal aperture, Xiaojun Kang, Gang Xu, Byungha Lee, Chen Chen, Huanan Zhang, Rui Kuang, Min Ni, Plant, Cell \& Environment, 41, 8, 1912-1925, Wiley Online Library, 2018
  • A multitask clustering approach for single-cell RNA-seq analysis in recessive dystrophic epidermolysis bullosa, Huanan Zhang, Catherine Lee, Zhuliu Li, John Garbe, Cindy Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar, PLoS computational biology, 14, 4, e1006053, Public Library of Science San Francisco, CA USA, 2018
  • DARPP-32 and t-DARPP promote non-small cell lung cancer growth through regulation of IKK$\alpha$-dependent cell migration, Sk Alam, Matteo Astone, Ping Liu, Stephanie Hall, Abbygail Coyle, Erin Dankert, Dane Hoffman, Wei Zhang, Rui Kuang, Anja Roden, others, Communications biology, 1, 1, 43, Nature Publishing Group UK London, 2018
  • Transfer learning across ontologies for phenome-genome association prediction, Raphael Petegrosso, Sunho Park, Tae Hwang, Rui Kuang, Bioinformatics, 33, 4, 529-536, Oxford University Press, 2017
  • Dropout prediction in home care training, Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi, Proc. 10th Int. Conf. Educ. Data Mining, 442-443, ERIC, 2017
  • Revealing complete complex KIR haplotypes phased by long-read sequencing technology, David Roe, Cynthia Vierra-Green, Chul-Woo Pyo, Kevin Eng, Richard Hall, Rui Kuang, Stephen Spellman, Swati Ranade, DE Geraghty, Martin Maiers, Genes \& Immunity, 18, 3, 127-134, Nature Publishing Group, 2017
  • Detecting population-differentiation copy number variants in human population tree by sparse group selection, Huanan Zhang, David Roe, Rui Kuang, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16, 2, 538-549, IEEE, 2017
  • Global analysis of canola genes targeted by SHORT HYPOCOTYL UNDER BLUE 1 during endosperm and embryo development, Huanan Zhang, Feng Cheng, Yuguo Xiao, Xiaojun Kang, Xiaowu Wang, Rui Kuang, Min Ni, The Plant Journal, 91, 1, 158-171, Wiley Online Library, 2017
  • Network-based machine learning and graph theory algorithms for precision oncology, Wei Zhang, Jeremy Chien, Jeongsik Yong, Rui Kuang, NPJ precision oncology, 1, 1, 25, Nature Publishing Group UK London, 2017
  • Estimating KIR haplotype frequencies on a cohort of 10,000 individuals: a comprehensive study on population variations, typing resolutions, and reference haplotypes, Cynthia Vierra-Green, David Roe, Jyothi Jayaraman, John Trowsdale, James Traherne, Rui Kuang, Stephen Spellman, Martin Maiers, PLoS One, 11, 10, e0163973, Public Library of Science San Francisco, CA USA, 2016
  • Meta-analysis of EMT datasets reveals different types of EMT, Lining Liang, Hao Sun, Wei Zhang, Mengdan Zhang, Xiao Yang, Rui Kuang, Hui Zheng, PloS one, 11, 6, e0156839, Public Library of Science San Francisco, CA USA, 2016
  • Predicting small group accretion in social networks: A topology based incremental approach, Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 408-415, 2015
  • TP53 mutations, tetraploidy and homologous recombination repair defects in early stage high-grade serous ovarian cancer, Jeremy Chien, Hugues Sicotte, Jian-Bing Fan, Sean Humphray, Julie Cunningham, Kimberly Kalli, Ann Oberg, Steven Hart, Ying Li, Jaime Davila, others, Nucleic acids research, 43, 14, 6945-6958, Oxford University Press, 2015
  • Network-based phenome-genome association prediction by bi-random walk, Maoqiang Xie, YingJie Xu, YaoGong Zhang, Taehyun Hwang, Rui Kuang, PloS one, 10, 5, e0125138, Public Library of Science San Francisco, CA USA, 2015
  • mRNA 3′-UTR shortening is a molecular signature of mTORC1 activation, Jae-Woong Chang, Wei Zhang, Hsin-Sung Yeh, Ebbing De Jong, Semo Jun, Kwan-Hyun Kim, Sun Bae, Kenneth Beckman, Tae Hwang, Kye-Seong Kim, others, Nature communications, 6, 1, 7218, Nature Publishing Group UK London, 2015
  • Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments, Hong Cai, Timothy Lilburn, Changjin Hong, Jianying Gu, Rui Kuang, Yufeng Wang, BMC systems biology, 9, 1-11, Springer, 2015
  • Network-based isoform quantification with RNA-seq data for cancer transcriptome analysis, Wei Zhang, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, Rui Kuang, PLoS computational biology, 11, 12, e1004465, Public Library of Science San Francisco, CA USA, 2015
  • SubPatCNV: approximate subspace pattern mining for mapping copy-number variations, Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang, BMC bioinformatics, 16, 1-12, Springer, 2015
  • Platinum-sensitive recurrence in ovarian cancer: the role of tumor microenvironment, Jeremy Chien, Rui Kuang, Charles Landen, Viji Shridhar, Frontiers in oncology, 3, 251, Frontiers Media SA, 2013
  • Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers, Tae Hwang, Gowtham Atluri, Rui Kuang, Vipin Kumar, Timothy Starr, Kevin Silverstein, Peter Haverty, Zemin Zhang, Jinfeng Liu, BMC genomics, 14, 1-13, Springer, 2013
  • Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment, Wei Zhang, Takayo Ota, Viji Shridhar, Jeremy Chien, Baolin Wu, Rui Kuang, PLoS computational biology, 9, 3, e1002975, Public Library of Science San Francisco, USA, 2013
  • Transfer learning across cancers on DNA copy number variation analysis, Huanan Zhang, Ze Tian, Rui Kuang, 2013 IEEE 13th International Conference on Data Mining, 1283-1288, IEEE, 2013
  • A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum, Hong Cai, Changjin Hong, Timothy Lilburn, Armando Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang, Yufeng Wang, BMC bioinformatics, 14, 1-13, Springer, 2013
  • Co-clustering phenome-genome for phenotype classification and disease gene discovery, Taehyun Hwang, Gowtham Atluri, Maoqiang Xie, Sanjoy Dey, Changjin Hong, Vipin Kumar, Rui Kuang, Nucleic acids research, 40, 19, e146—e146, Oxford University Press, 2012
  • Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum, Hong Cai, Changjin Hong, Jianying Gu, Timothy Lilburn, Rui Kuang, Yufeng Wang, BMC systems biology, 6, 1-13, Springer, 2012
  • Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments, Hong Cai, Changjin Hong, Jianying Gu, Timothy Lilburn, Rui Kuang, Yufeng Wang, 2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, IEEE, 2012
  • Global linear neighborhoods for efficient label propagation, Ze Tian, Rui Kuang, Proceedings of the 2012 SIAM international conference on data mining, 863-872, SIAM, 2012
  • Prioritizing disease genes by bi-random walk, Maoqiang Xie, Taehyun Hwang, Rui Kuang, Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29—June 1, 2012, Proceedings, Part II 16, 292-303, Springer, 2012
  • Signed network propagation for detecting differential gene expressions and DNA copy number variations, Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang, Proceedings of the ACM conference on bioinformatics, computational biology and biomedicine, 337-344, 2012
  • Approximate subspace pattern mining for mapping copy-number variations, Nicholas Johnson, Gang Fang, Rui Kuang, Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 616-616, 2012
  • Sparse group selection on fused lasso components for identifying group-specific DNA copy number variations, Ze Tian, Huanan Zhang, Rui Kuang, 2012 IEEE 12th International Conference on Data Mining, 665-674, IEEE, 2012, ⭐ Best Student Paper
  • Inferring disease and gene set associations with rank coherence in networks, Taehyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang, Bioinformatics, 27, 19, 2692-2699, Oxford University Press, 2011
  • Proteases in malaria parasites-a phylogenomic perspective, Hong Cai, Rui Kuang, Jianying Gu, Yufeng Wang, Current Genomics, 12, 6, 417-427, Bentham Science Publishers, 2011
  • A heterogeneous label propagation algorithm for disease gene discovery, Taehyun Hwang, Rui Kuang, Proceedings of the 2010 SIAM International Conference on Data Mining, 583-594, SIAM, 2010
  • Network propagation models for gene selection, Wei Zhang, Baryun Hwang, Baolin Wu, Rui Kuang, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 1-4, IEEE, 2010
  • Launching: university partnership for health informatics, Julie Jacko, Terrence Adam, Bonnie Westra, Marty Witrak, Ron Berkeland, Andrew Nelson, Adel Ali, Layne Johnson, Rui Kuang, Kathy LaTour, others, Proceedings of the 1st ACM International Health Informatics Symposium, 521-525, 2010
  • Subspace differential coexpression analysis: problem definition and a general approach, Gang Fang, Rui Kuang, Gaurav Pandey, Michael Steinbach, Chad Myers, Vipin Kumar, Biocomputing 2010, 145-156, World Scientific, 2010
  • Integrative classification and analysis of multiple arrayCGH datasets with probe alignment, Ze Tian, Rui Kuang, Bioinformatics, 26, 18, 2313-2320, Oxford University Press, 2010
  • A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior, Ze Tian, Taehyun Hwang, Rui Kuang, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 1-4, IEEE, 2009
  • Learning random-walk kernels for protein remote homology identification and motif discovery, Renqiang Min, Rui Kuang, Anthony Bonner, Zhaolei Zhang, Proceedings of the 2009 SIAM International Conference on Data Mining, 133-144, SIAM, 2009
  • Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel, Rui Kuang, Jianying Gu, Hong Cai, Yufeng Wang, Genetica, 136, 189-209, Springer, 2009
  • Partial profile alignment kernels for protein classification, Thanh Ngo, Rui Kuang, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 1-4, IEEE, 2009
  • A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge, Ze Tian, Taehyun Hwang, Rui Kuang, Bioinformatics, 25, 21, 2831-2838, Oxford University Press, 2009
  • Integrative biomarker discovery for breast cancer metastasis from gene expression and protein interaction data using error-tolerant pattern mining, Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar, 2009
  • Robust and efficient identification of biomarkers by classifying features on graphs, Taehyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre Kocher, Dennis Wigle, Vipin Kumar, Rui Kuang, Bioinformatics, 24, 18, 2023-2029, Oxford University Press, 2008
  • Learning on weighted hypergraphs to integrate protein interactions and gene expressions for cancer outcome prediction, Taehyun Hwang, Ze Tian, Rui Kuangy, Jean-Pierre Kocher, 2008 Eighth IEEE international conference on data mining, 293-302, IEEE, 2008
  • SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition, Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Noble, Christina Leslie, BMC bioinformatics, 8, 1-15, Springer, 2007
  • Protein ranking by semi-supervised network propagation, Jason Weston, Rui Kuang, Christina Leslie, William Noble, BMC bioinformatics, 7, 1-9, Springer, 2006
  • Identifying remote protein homologs by network propagation, William Noble, Rui Kuang, Christina Leslie, Jason Weston, The FEBS journal, 272, 20, 5119-5128, Wiley Online Library, 2005
  • Profile-based string kernels for remote homology detection and motif extraction, Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina Leslie, Journal of bioinformatics and computational biology, 3, 03, 527-550, World Scientific, 2005
  • Motif-based protein ranking by network propagation, Rui Kuang, Jason Weston, William Noble, Christina Leslie, Bioinformatics, 21, 19, 3711-3718, Oxford University Press, 2005
  • Fast string kernels using inexact matching for protein sequences, Christina Leslie, Rui Kuang, Journal of Machine Learning Research, 5, Nov, 1435-1455, 2004
  • Inexact matching string kernels for protein classification, Christina Leslie, Rui Kuang, Eleazar Eskin, Kernel Methods in Computational Biology, 95-112, MIT Press, Cambridge, MA, 2004
  • Protein backbone angle prediction with machine learning approaches, Rui Kuang, Christina Leslie, An-Suei Yang, Bioinformatics, 20, 10, 1612-1621, Oxford University Press, 2004
  • Fast kernels for inexact string matching, Christina Leslie, Rui Kuang, Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003. Proceedings, 114-128, Springer, 2003