Publications

Tianci Song, Quoc Nguyen, Charles Broadbent, Rui Kuang,CTFacTomo: Reconstructing 3D spatial structures of RNA tomography transcriptomes by collapsed tensor factorization
Tianci Song, Eric Cosatto, Gaoyuan Wang, Rui Kuang, Mark Gerstein, Martin Min, Jonathan Warrell,Predicting spatially resolved gene expression via tissue morphology using adaptive spatial GNNs
Charles Broadbent, Tianci Song, Rui Kuang,Deciphering high-order structures in spatial transcriptomes with graph-guided Tucker decomposition
Sharada Sridhar, Rui Kuang, Jen Robb, Uzma Samadani,A ventriculomegaly feature computational pipeline to improve the screening of normal pressure hydrocephalus on CT
Sharada Sridhar, Jen Robb, Rishabh Gupta, Scarlett Cheong, Rui Kuang, Uzma Samadani,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
Ethan Kulman, Rui Kuang, Quaid Morris,Orchard: building large cancer phylogenies using stochastic combinatorial search
Tianci Song, Charles Broadbent, Rui Kuang,GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations
Tianci Song, Kathleen Markham, Zhuliu Li, Kristen Muller, Kathleen Greenham, Rui Kuang,Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network
Zhuliu Li, Tianci Song, Jeongsik Yong, Rui Kuang,Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion
Zhuliu Li, Raphael Petegrosso, Shaden Smith, David Sterling, George Karypis, Rui Kuang,Scalable label propagation for multi-relational learning on the tensor product of graphs
David Roe, Jonathan Williams, Keyton Ivery, Jenny Brouckaert, Nick Downey, Chad Locklear, Rui Kuang, Martin Maiers,Efficient sequencing, assembly, and annotation of human KIR haplotypes
David Roe, Rui Kuang,Accurate and efficient KIR gene and haplotype inference from genome sequencing reads with novel K-mer signatures
Wei Zhang, Raphael Petegrosso, Jae-Woong Chang, Jiao Sun, Jeongsik Yong, Jeremy Chien, Rui Kuang,A large-scale comparative study of isoform expressions measured on four platforms
Raphael Petegrosso, Tianci Song, Rui Kuang,Hierarchical canonical correlation analysis reveals phenotype, genotype, and geoclimate associations in plants
David Roe, Cynthia Vierra-Green, Chul-Woo Pyo, Daniel Geraghty, Stephen Spellman, Martin Maiers, Rui Kuang,A detailed view of KIR haplotype structures and gene families as provided by a new motif-based multiple sequence alignment
Raphael Petegrosso, Zhuliu Li, Rui Kuang,Machine learning and statistical methods for clustering single-cell RNA-sequencing data
Jiao Sun, Jae-Woong Chang, Teng Zhang, Jeongsik Yong, Rui Kuang, Wei Zhang,Platform-integrated mRNA isoform quantification
Ying Song, Tianci Song, Rui Kuang,Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering
Jae-Woong Chang, Hsin-Sung Yeh, Meeyeon Park, Luke Erber, Jiao Sun, Sze Cheng, Alexander Bui, Naima Fahmi, Ryan Nasti, Rui Kuang, others,mTOR-regulated U2af1 tandem exon splicing specifies transcriptome features for translational control
Raphael Petegrosso, Zhuliu Li, Molly Srour, Yousef Saad, Wei Zhang, Rui Kuang,Scalable remote homology detection and fold recognition in massive protein networks
Zhuliu Li, Wei Zhang, Stephanie Huang, Rui Kuang,Learning a low-rank tensor of pharmacogenomic multi-relations from biomedical networks
Amy Hauck, Tong Zhou, Wendy Hahn, Raphael Petegrosso, Rui Kuang, Yue Chen, David Bernlohr,Obesity-induced protein carbonylation in murine adipose tissue regulates the DNA-binding domain of nuclear zinc finger proteins
Jae-Woong Chang, Wei Zhang, Hsin-Sung Yeh, Meeyeon Park, Chengguo Yao, Yongsheng Shi, Rui Kuang, Jeongsik Yong,An integrative model for alternative polyadenylation, IntMAP, delineates mTOR-modulated endoplasmic reticulum stress response
Xiaoyu Xiang, Yuanguo Wang, Hongbin Zhang, Jinhua Piao, Selvaraj Muthusamy, Lei Wang, Yibin Deng, Wei Zhang, Rui Kuang, Daniel Billadeau, others,Vasodilator-stimulated phosphoprotein promotes liver metastasis of gastrointestinal cancer by activating a $\beta$1-integrin-FAK-YAP1/TAZ signaling pathway
Xiaojun Kang, Gang Xu, Byungha Lee, Chen Chen, Huanan Zhang, Rui Kuang, Min Ni,HRB2 and BBX21 interaction modulates Arabidopsis ABI5 locus and stomatal aperture
Huanan Zhang, Catherine Lee, Zhuliu Li, John Garbe, Cindy Eide, Raphael Petegrosso, Rui Kuang, Jakub Tolar,A multitask clustering approach for single-cell RNA-seq analysis in recessive dystrophic epidermolysis bullosa
Sk Alam, Matteo Astone, Ping Liu, Stephanie Hall, Abbygail Coyle, Erin Dankert, Dane Hoffman, Wei Zhang, Rui Kuang, Anja Roden, others,DARPP-32 and t-DARPP promote non-small cell lung cancer growth through regulation of IKK$\alpha$-dependent cell migration
Raphael Petegrosso, Sunho Park, Tae Hwang, Rui Kuang,Transfer learning across ontologies for phenome-genome association prediction
Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi,Dropout prediction in home care training
David Roe, Cynthia Vierra-Green, Chul-Woo Pyo, Kevin Eng, Richard Hall, Rui Kuang, Stephen Spellman, Swati Ranade, DE Geraghty, Martin Maiers,Revealing complete complex KIR haplotypes phased by long-read sequencing technology
Huanan Zhang, David Roe, Rui Kuang,Detecting population-differentiation copy number variants in human population tree by sparse group selection
Huanan Zhang, Feng Cheng, Yuguo Xiao, Xiaojun Kang, Xiaowu Wang, Rui Kuang, Min Ni,Global analysis of canola genes targeted by SHORT HYPOCOTYL UNDER BLUE 1 during endosperm and embryo development
Wei Zhang, Jeremy Chien, Jeongsik Yong, Rui Kuang,Network-based machine learning and graph theory algorithms for precision oncology
Cynthia Vierra-Green, David Roe, Jyothi Jayaraman, John Trowsdale, James Traherne, Rui Kuang, Stephen Spellman, Martin Maiers,Estimating KIR haplotype frequencies on a cohort of 10,000 individuals: a comprehensive study on population variations, typing resolutions, and reference haplotypes
Lining Liang, Hao Sun, Wei Zhang, Mengdan Zhang, Xiao Yang, Rui Kuang, Hui Zheng,Meta-analysis of EMT datasets reveals different types of EMT
Ankit Sharma, Rui Kuang, Jaideep Srivastava, Xiaodong Feng, Kartik Singhal,Predicting small group accretion in social networks: A topology based incremental approach
Jeremy Chien, Hugues Sicotte, Jian-Bing Fan, Sean Humphray, Julie Cunningham, Kimberly Kalli, Ann Oberg, Steven Hart, Ying Li, Jaime Davila, others,TP53 mutations, tetraploidy and homologous recombination repair defects in early stage high-grade serous ovarian cancer
Maoqiang Xie, YingJie Xu, YaoGong Zhang, Taehyun Hwang, Rui Kuang,Network-based phenome-genome association prediction by bi-random walk
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,mRNA 3′-UTR shortening is a molecular signature of mTORC1 activation
Hong Cai, Timothy Lilburn, Changjin Hong, Jianying Gu, Rui Kuang, Yufeng Wang,Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments
Wei Zhang, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, Rui Kuang,Network-based isoform quantification with RNA-seq data for cancer transcriptome analysis
Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang,SubPatCNV: approximate subspace pattern mining for mapping copy-number variations
Jeremy Chien, Rui Kuang, Charles Landen, Viji Shridhar,Platinum-sensitive recurrence in ovarian cancer: the role of tumor microenvironment
Tae Hwang, Gowtham Atluri, Rui Kuang, Vipin Kumar, Timothy Starr, Kevin Silverstein, Peter Haverty, Zemin Zhang, Jinfeng Liu,Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers
Wei Zhang, Takayo Ota, Viji Shridhar, Jeremy Chien, Baolin Wu, Rui Kuang,Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment
Huanan Zhang, Ze Tian, Rui Kuang,Transfer learning across cancers on DNA copy number variation analysis
Hong Cai, Changjin Hong, Timothy Lilburn, Armando Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang, Yufeng Wang,A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum
Taehyun Hwang, Gowtham Atluri, Maoqiang Xie, Sanjoy Dey, Changjin Hong, Vipin Kumar, Rui Kuang,Co-clustering phenome-genome for phenotype classification and disease gene discovery
Hong Cai, Changjin Hong, Jianying Gu, Timothy Lilburn, Rui Kuang, Yufeng Wang,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,Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments
Ze Tian, Rui Kuang,Global linear neighborhoods for efficient label propagation
Maoqiang Xie, Taehyun Hwang, Rui Kuang,Prioritizing disease genes by bi-random walk
Wei Zhang, Nicholas Johnson, Baolin Wu, Rui Kuang,Signed network propagation for detecting differential gene expressions and DNA copy number variations
Nicholas Johnson, Gang Fang, Rui Kuang,Approximate subspace pattern mining for mapping copy-number variations
Ze Tian, Huanan Zhang, Rui Kuang,Sparse group selection on fused lasso components for identifying group-specific DNA copy number variations
Taehyun Hwang, Wei Zhang, Maoqiang Xie, Jinfeng Liu, Rui Kuang,Inferring disease and gene set associations with rank coherence in networks
Hong Cai, Rui Kuang, Jianying Gu, Yufeng Wang,Proteases in malaria parasites-a phylogenomic perspective
Taehyun Hwang, Rui Kuang,A heterogeneous label propagation algorithm for disease gene discovery
Wei Zhang, Baryun Hwang, Baolin Wu, Rui Kuang,Network propagation models for gene selection
Julie Jacko, Terrence Adam, Bonnie Westra, Marty Witrak, Ron Berkeland, Andrew Nelson, Adel Ali, Layne Johnson, Rui Kuang, Kathy LaTour, others,Launching: university partnership for health informatics
Gang Fang, Rui Kuang, Gaurav Pandey, Michael Steinbach, Chad Myers, Vipin Kumar,Subspace differential coexpression analysis: problem definition and a general approach
Ze Tian, Rui Kuang,Integrative classification and analysis of multiple arrayCGH datasets with probe alignment
Ze Tian, Taehyun Hwang, Rui Kuang,A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior
Renqiang Min, Rui Kuang, Anthony Bonner, Zhaolei Zhang,Learning random-walk kernels for protein remote homology identification and motif discovery
Rui Kuang, Jianying Gu, Hong Cai, Yufeng Wang,Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel
Thanh Ngo, Rui Kuang,Partial profile alignment kernels for protein classification
Ze Tian, Taehyun Hwang, Rui Kuang,A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge
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
Taehyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre Kocher, Dennis Wigle, Vipin Kumar, Rui Kuang,Robust and efficient identification of biomarkers by classifying features on graphs
Taehyun Hwang, Ze Tian, Rui Kuangy, Jean-Pierre Kocher,Learning on weighted hypergraphs to integrate protein interactions and gene expressions for cancer outcome prediction
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Noble, Christina Leslie,SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Jason Weston, Rui Kuang, Christina Leslie, William Noble,Protein ranking by semi-supervised network propagation
William Noble, Rui Kuang, Christina Leslie, Jason Weston,Identifying remote protein homologs by network propagation
Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina Leslie,Profile-based string kernels for remote homology detection and motif extraction
Rui Kuang, Jason Weston, William Noble, Christina Leslie,Motif-based protein ranking by network propagation
Christina Leslie, Rui Kuang,Fast string kernels using inexact matching for protein sequences
Christina Leslie, Rui Kuang, Eleazar Eskin,Inexact matching string kernels for protein classification
Rui Kuang, Christina Leslie, An-Suei Yang,Protein backbone angle prediction with machine learning approaches
Christina Leslie, Rui Kuang,Fast kernels for inexact string matching