Rui Kuang

发表

Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis

Baolin Wu, Hui Zheng, Wei Zhang, 2014, PLoS Comput. Biol..

Robust and efficient identification of biomarkers by classifying features on graphs

Vipin Kumar, Baolin Wu, TaeHyun Hwang, 2008, Bioinform..

Protein backbone angle prediction with machine learning approaches

An-Suei Yang, Christina S. Leslie, Rui Kuang, 2004, Bioinform..

Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction

TaeHyun Hwang, Jean-Pierre A. Kocher, Rui Kuang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Transfer learning across ontologies for phenome‐genome association prediction

Sunho Park, TaeHyun Hwang, Rui Kuang, 2016, Bioinform..

2nd International Conference on Bioinformatics and Computational Biology 2010, BICoB 2010

Vipin Kumar, Rohit Gupta, Rui Kuang, 2010, BICoB 2010.

Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations

Rui Kuang, Huanan Zhang, Ze Tian, 2012, 2012 IEEE 12th International Conference on Data Mining.

Scalable Label Propagation for Multi-relational Learning on Tensor Product Graph pdf

George Karypis, Shaden Smith, Rui Kuang, 2018, ArXiv.

A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery

TaeHyun Hwang, Rui Kuang, R. Kuang, 2010, SDM.

Profile-based string kernels for remote homology detection and motif extraction.

Ke Wang, Yoav Freund, Rui Kuang, 2005, Journal of bioinformatics and computational biology.

Approximate subspace pattern mining for mapping copy-number variations

Gang Fang, Nicholas Johnson, Rui Kuang, 2012, BCB '12.

Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

Baolin Wu, Wei Zhang, Jeremy Chien, 2013, PLoS Comput. Biol..

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition

Jason Weston, William Stafford Noble, Christina S. Leslie, 2007, BMC Bioinformatics.

Platform-integrated mRNA isoform quantification

Jeongsik Yong, Rui Kuang, Wei Zhang, 2019, Bioinform..

Global Linear Neighborhoods for Efficient Label Propagation

Rui Kuang, Ze Tian, R. Kuang, 2012, SDM.

A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa

John R. Garbe, Rui Kuang, Huanan Zhang, 2018, PLoS Comput. Biol..

Path segmentation for movement trajectories with irregular sampling frequency using space-time interpolation and density-based spatial clustering

Ying Song, Rui Kuang, Tianci Song, 2019, Trans. GIS.

Partial profile alignment kernels for protein classification

Rui Kuang, Thanh T. Ngo, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

SubPatCNV: approximate subspace pattern mining for mapping copy-number variations

Vipin Kumar, Gang Fang, Nicholas Johnson, 2015, BMC Bioinformatics.

A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge

TaeHyun Hwang, Rui Kuang, Ze Tian, 2009, Bioinform..

Network propagation models for gene selection

Baolin Wu, Wei Zhang, Rui Kuang, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Profile-based string kernels for remote homology detection and motif extraction

Ke Wang, Kai Wang, Yoav Freund, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion

Jeongsik Yong, Rui Kuang, Tianci Song, 2020, bioRxiv.

Network-based machine learning and graph theory algorithms for precision oncology

Wei Zhang, Jeremy Chien, Jeongsik Yong, 2017, npj Precision Oncology.

Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples pdf

Yousef Saad, Wei Zhang, Rui Kuang, 2017, ArXiv.

Fast Kernels for Inexact String Matching

Christina S. Leslie, Rui Kuang, C. Leslie, 2003, COLT.

Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery

Zhaolei Zhang, Martin Renqiang Min, Anthony J. Bonner, 2009, SDM.

Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection

Rui Kuang, Huanan Zhang, David Roe, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Motif-based protein ranking by network propagation

Jason Weston, William Stafford Noble, Christina S. Leslie, 2005, Bioinform..

Fast String Kernels using Inexact Matching for Protein Sequences

Christina S. Leslie, Rui Kuang, C. Leslie, 2004, J. Mach. Learn. Res..

Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments

Yufeng Wang, Hong Cai, Rui Kuang, 2015, BMC Systems Biology.

Signed network propagation for detecting differential gene expressions and DNA copy number variations

Baolin Wu, Nicholas Johnson, Wei Zhang, 2012, BCB.

2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012

Xiaohua Hu, Yunming Ye, Majid Sarrafzadeh, 2012, IEEE International Conference on Bioinformatics and Biomedicine.

Prediction of novel systems components in cell cycle regulation in malaria parasite by subnetwork alignments

Yufeng Wang, Hong Cai, Rui Kuang, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Protein Ranking by Semi-Supervised Network Propagation

Jason Weston, William Stafford Noble, Christina S. Leslie, 2006, BMC Bioinformatics.

Dropout Prediction in Home Care Training

Chih-Lin Chi, Wenjun Zeng, Rui Kuang, 2017, EDM.

A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum

Yufeng Wang, Hong Cai, Sheng Chen, 2013, BMC Bioinformatics.

Launching: university partnership for health informatics

Bonnie L. Westra, Terrence Adam, Julie A. Jacko, 2010, IHI.

A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior

TaeHyun Hwang, Rui Kuang, Ze Tian, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach

Vipin Kumar, Michael S. Steinbach, Gang Fang, 2010, Pacific Symposium on Biocomputing.

Prioritizing Disease Genes by Bi-Random Walk

Maoqiang Xie, TaeHyun Hwang, Rui Kuang, 2012, PAKDD.

Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining

Vipin Kumar, Rui Kuang, Navneet Rao, 2010, BICoB.

Module-based subnetwork alignments reveal novel transcriptional regulators in malaria parasite Plasmodium falciparum

Yufeng Wang, Hong Cai, Rui Kuang, 2012, BMC Systems Biology.

Scalable remote homology detection and fold recognition in massive protein networks

Yousef Saad, Wei Zhang, Rui Kuang, 2019, Proteins.

Integrative classification and analysis of multiple arrayCGH datasets with probe alignment

Rui Kuang, Ze Tian, R. Kuang, 2010, Bioinform..

Scalable Label Propagation for Multi-Relational Learning on the Tensor Product of Graphs

George Karypis, Rui Kuang, Raphael Petegrosso, 2021, IEEE Transactions on Knowledge and Data Engineering.

Erratum to Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel(Genetica, (2009), 137, 2 (243), 10.1007/s10709-009-9383-x)

Rui Kuang, Jianying Gu, Yufeng Wang, 2009 .

Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel

Rui Kuang, Jianying Gu, Yufeng Wang, 2009, Genetica.

mRNA 3′-UTR shortening is a molecular signature of mTORC1 activation

Jae-Woong Chang, Rui Kuang, Jeongsik Yong, 2015, Nature Communications.

Machine learning and statistical methods for clustering single-cell RNA-sequencing data

Rui Kuang, Raphael Petegrosso, Zhuliu Li, 2019, Briefings Bioinform..

An integrative model for alternative polyadenylation, IntMAP, delineates mTOR-modulated endoplasmic reticulum stress response

Jae-Woong Chang, Rui Kuang, Jeongsik Yong, 2018, Nucleic acids research.

Meta-Analysis of EMT Datasets Reveals Different Types of EMT

Xiao Yang, Rui Kuang, Wei Zhang, 2016, PloS one.

Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel

Rui Kuang, Jianying Gu, Yufeng Wang, 2009, Genetica.