Xue-wen Chen

发表

Xue-wen Chen, 2017 .

bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies

Xue-wen Chen, Bing Han, 2011, BMC Genomics.

Optimized Kernel Machines for Cancer Classification Using Gene Expression Data

Xue-wen Chen, Huilin Xiong, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A Fast Markov Blankets Method for Epistatic Interactions Detection in Genome-wide Association Studies

Xue-wen Chen, Bing Han, 2010 .

Integrating Multiple Microarray Data for Cancer Pathway Analysis Using Bootstrapping K-S Test

Xinkun Wang, Xue-Wen Chen, Elias K. Michaelis, 2009, Journal of biomedicine & biotechnology.

CLUSTERING GENE EXPRESSION DATA WITH MIN-MAX-MEDIAN INITIALIZED FUZZY C-MEANS ALGORITHMS

Xue-wen Chen, 2002 .

Advanced Signal Processing Techniques for Bioinformatics

Vladimir Pavlovic, David Casasent, Sun Kim, 2006, EURASIP Journal on Advances in Signal Processing.

BIOINFORMATICS Knowledge-guided inference of domain–domain interactions from incomplete protein–protein interaction networks

Raja Jothi, Xue-wen Chen, Mei Liu, 2009 .

Genome-wide transcriptome profiling of region-specific vulnerability to oxidative stress in the hippocampus.

Xue-wen Chen, E. Michaelis, Xinkun Wang, 2007, Genomics.

Protein flexibility modeling using kernel based methods

Xue-wen Chen, J. Chen, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

A Bayesian approach to support vector machines for the binary classification

Fei Cheng, Jiangsheng Yu, Huilin Xiong, 2008, Neurocomputing.

Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data

Jiangsheng Yu, Xue-wen Chen, Xue-wen Chen, 2005, ISMB.

Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome

Jin Lin, Bo Luo, Jun Huan, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Improving drug safety: From adverse drug reaction knowledge discovery to clinical implementation.

Yong Hu, Mei Liu, Yuxiang Tan, 2016, Methods.

Discovering domain-domain interactions toward genome-wide protein interaction and function predictions

Mei Liu, Xue-Wen Chen, Mei Liu, 2009 .

Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks

Xue-wen Chen, Aaron M. Smalter, Seak Fei Lei, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

On Position-Specific Scoring Matrix for Protein Function Prediction

Xue-wen Chen, Jong Cheol Jeong, Xiaotong Lin, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

Hua Xu, Mei Liu, Zhongming Zhao, 2012, J. Am. Medical Informatics Assoc..

FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach

Xue-wen Chen, Bing Han, Zohreh Talebizadeh, 2011, BMC Bioinformatics.

Enhanced recursive feature elimination

Xue-wen Chen, Jong Cheol Jeong, Xue-wen Chen, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms

Mei Liu, Xue-wen Chen, Xiaotong Lin, 2009, BMC Bioinformatics.

Prediction of protein-protein interactions using random decision forest framework

Mei Liu, Xue-wen Chen, Mei Liu, 2005, Bioinform..

Sequence-based prediction of protein interaction sites with an integrative method

Xue-wen Chen, Jong Cheol Jeong, Xue-wen Chen, 2009, Bioinform..

Knowledge-guided inference of domain–domain interactions from incomplete protein–protein interaction networks

Mei Liu, Raja Jothi, Xue-wen Chen, 2009, Bioinform..

Machine learning in biomedicine and bioinformatics.

Leif E. Peterson, Xue-Wen Chen, Leif E Peterson, 2009, International journal of data mining and bioinformatics.

A machine learning approach to query time-series microarray data sets for functionally related genes using hidden markov models

Alexander Senf, Xue-wen Chen, Xue-wen Chen, 2011 .

Margin-based wrapper methods for gene identification using microarray

Xue-wen Chen, Xue-wen Chen, 2006, Neurocomputing.

Genomic and biochemical approaches in the discovery of mechanisms for selective neuronal vulnerability to oxidative stress

M. Michaelis, Xue-wen Chen, E. Michaelis, 2009, BMC Neuroscience.

Survival Prediction and Gene Identification with Penalized Global AUC Maximization

Ming Tan, Xue-wen Chen, Zhenqiu Liu, 2009, J. Comput. Biol..

Cross-platform microarray data integration using the Normalised Linear Transform

Ya Zhang, Jiangsheng Yu, Huilin Xiong, 2010, Int. J. Data Min. Bioinform..

Normalized Linear Transform for Cross-Platform Microarray Data Integration

Ya Zhang, Huilin Xiong, Xue-wen Chen, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Data-Dependent Kernel Machines for Microarray Data Classification

Ya Zhang, Huilin Xiong, Xue-wen Chen, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Structural Risk Minimisation based gene expression profiling analysis

Dechang Chen, Xue-wen Chen, ZhenQiu Liu, 2007, Int. J. Bioinform. Res. Appl..

Kernel-based distance metric learning for microarray data classification

Huilin Xiong, Xue-wen Chen, Xue-wen Chen, 2006, BMC Bioinformatics.

Optimized Kernel Machine for Cancer Classification Using Gene Expression Data

Huilin Xiong, Xue-wen Chen, Xue-wen Chen, 2005, CIBCB.

High intrinsic oxidative stress may underlie selective vulnerability of the hippocampal CA1 region.

Xue-wen Chen, E. Michaelis, Nanteetip Limpeanchob, 2005, Brain research. Molecular brain research.

Latent Topic-Semantic Indexing Based Automatic Text Summarization

Jiangsheng Yu, Xue-wen Chen, Xue-wen Chen, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Cephalometric Landmark Tracing Using Deformable Templates

Bo Luo, Brian Potetz, Xue-wen Chen, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Healthcare Information Networks: Discovery and Evaluation

Bo Luo, Xue-wen Chen, Meeyoung Park, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Heterogeneous data integration by tree‐augmented naïve Bayes for protein–protein interactions prediction

Xue-wen Chen, Xiaotong Lin, Xue-wen Chen, 2013, Proteomics.

Protein-Protein Interaction Prediction and Assessment from Model Organisms

Mei Liu, Xue-wen Chen, Xiaotong Lin, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Combating the Small Sample Class Imbalance Problem Using Feature Selection

Xue-wen Chen, Michael Wasikowski, Xue-wen Chen, 2010, IEEE Transactions on Knowledge and Data Engineering.

IPKB: a digital library for invertebrate paleontology

Bo Luo, Xue-wen Chen, Junyan Li, 2012, JCDL '12.

Minimum reference set based feature selection for small sample classifications

Xue-wen Chen, Jong Cheol Jeong, Xue-wen Chen, 2007, ICML '07.

A Markov blanket-based method for detecting causal SNPs in GWAS

Xue-wen Chen, Meeyoung Park, Bing Han, 2010, BMC Bioinformatics.

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems

Xue-wen Chen, Michael Wasikowski, Xue-wen Chen, 2008, KDD.

Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm

Xue-wen Chen, Xiaotong Lin, Gopalakrishna Anantha, 2008, IEEE Transactions on Knowledge and Data Engineering.

Multi-class feature selection for texture classification

Xiang-Yan Zeng, Xue-wen Chen, Deborah van Alphen, 2006, Pattern Recognit. Lett..

KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions

Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer, 2010, Nucleic Acids Res..

An effective structure learning method for constructing gene networks

Xinkun Wang, Xue-wen Chen, Gopalakrishna Anantha, 2006, Bioinform..

GOAL: the comprehensive gene ontology analysis layer

Xue-wen Chen, Jong Cheol Jeong, George Li, 2016, Science China Information Sciences.

Gene Network Learning Using Regulated Dynamic Bayesian Network Methods

Xue-wen Chen, Xiaotong Lin, Xue-wen Chen, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Mr.KNN: soft relevance for multi-label classification

Xue-wen Chen, Xiaotong Lin, Xue-wen Chen, 2010, CIKM.

Gene selection for cancer classification using bootstrapped genetic algorithms and support vector machines

Xue-wen Chen, Xue-wen Chen, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

iLike: integrating visual and textual features for vertical search

Nenghai Yu, Bo Luo, Xue-wen Chen, 2010, ACM Multimedia.

Domain-Based Predictive Models for Protein-Protein Interaction Prediction

Mei Liu, Xue-wen Chen, Mei Liu, 2006, EURASIP J. Adv. Signal Process..

Large-scale Protein-Protein Interaction prediction using novel kernel methods

Jianwen Fang, Xue-wen Chen, Ryan J. Haasl, 2008, Int. J. Data Min. Bioinform..

Evaluating topology-based metrics for GO term similarity measures

Xue-wen Chen, Jong Cheol Jeong, Xue-wen Chen, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Learning to rank with a novel kernel perceptron method

Haixun Wang, Xue-wen Chen, Xiaotong Lin, 2009, CIKM.

Identification of genes involved in the same pathways using a Hidden Markov Model-based approach

Xue-wen Chen, Alexander Senf, Xue-wen Chen, 2009, Bioinform..

DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets

Xue-wen Chen, Meeyoung Park, Bing Han, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Detecting SNPs-disease associations using Bayesian networks

Xue-wen Chen, Bing Han, Xue-wen Chen, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

GOAL: the comprehensive gene ontology analysis layer

George Li, Xue-wen Chen, Jong Cheol Jeong, 2016, Science China Information Sciences.