Y. Wang

发表

Computed simultaneous imaging of multiple biomarkers

Jianhua Xuan, Yue Joseph Wang, Peter L. Choyke, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

The properties of high-dimensional data spaces: implications for exploring gene and protein expression data

E. Gehan, Minetta C. Liu, Y. Wang, 2008, Nature Reviews Cancer.

Blind Separation of Positive Dependent Sources by Non-Negative Least-Correlated Component Analysis

Fa Yu Wang, Tsung-Han Chan, Y. Wang, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

Dual discriminative local coding for tissue aging analysis

Heng Huang, Mei Chen, Yue Wang, 2017, Medical Image Anal..

Boosted multifold sparse representation with application to ILD classification

Heng Huang, D. Feng, Weidong (Tom) Cai, 2012, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Large Margin Local Estimate With Applications to Medical Image Classification

Heng Huang, Mei Chen, David Dagan Feng, 2015, IEEE Transactions on Medical Imaging.

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors

Heng Huang, Mei Chen, David Dagan Feng, 2016, BMC Bioinformatics.

Cross phenotype normalization of microarray data.

E. Hoffman, Y. Wang, J. Xuan, 2010, Frontiers in bioscience.

G-DOC: a systems medicine platform for personalized oncology.

Subha Madhavan, Robert Clarke, Louis M Weiner, 2011, Neoplasia.

TAGCNA: A Method to Identify Significant Consensus Events of Copy Number Alterations in Cancer

Baodi Chen, Xiguo Yuan, Shengli Zhang, 2012, PloS one.

ECHO STATE NETWORKSWITH DECOUPLEDRESERVOIRSTATES

Y. Wang, Bai Zhang, 2008 .

Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells

Robert Clarke, John J. Tyson, William T. Baumann, 2011, Nature Reviews Cancer.

Estrogen receptor alpha positive breast tumors and breast cancer cell lines share similarities in their transcriptome data structures.

Robert Clarke, Minetta C. Liu, Y. Wang, 2006, International journal of oncology.

Discriminative mining of gene microarray data

Sun-Yuan Kung, Robert Clarke, Jianhua Xuan, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

Stochastic model and probabilistic decision-based classifier for mass detection in digital mammography

K. J. Ray Liu, Huai Li, Yue Joseph Wang, 1997, Proceedings of International Conference on Image Processing.

C:\Documents and Settings\senthil.d\Desktop\Bioinfo-26(11)issue\btq144.dvi

E. Hoffman, Y. Wang, J. Xuan, 2010 .

Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic

Robert Clarke, Li Chen, Jianhua Xuan, 2012, Bioinform..

Biomarker identification by knowledge-driven multi-scale independent component analysis

Y. Wang, J. Xuan, R. Clarke, 2007, 2007 IEEE/NIH Life Science Systems and Applications Workshop.

Quantifying the CDK inhibitor VMY-1-103’s activity and tissue levels in an in vivo tumor model by LC-MS/MS and by MRI

A. Üren, A. Ozcan, S. Karam, 2012, Cell cycle.

Antiestrogen Resistance and the Application of Systems Biology.

Y. Wang, J. Xuan, R. Clarke, 2012, Drug discovery today. Disease mechanisms.

Data Processing and Analysis

Yue Wang, Murray H. Loew, Matthew T. Freedman, 2008 .

Erratum: Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic (Bioinformatics (2012) 28:15 (1990-1997) DOI:10.1093/bioinformatics/bts296)

Yue Wang, Robert Clarke, Jianhua Xuan, 2014 .

Differential Dependency Network Analysis to Identify Topological Changes in Biological Networks

Yue Wang, Robert Clarke, Huai Li, 2010 .

Identifying cancer biomarkers by network-constrained support vector machines

Robert Clarke, Li Chen, Jianhua Xuan, 2011, BMC Systems Biology.

Identification of Condition-specific Regulatory Modules by Multi-level Motif and mRNA Expression Analysis

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, BIOCOMP.

Integrating multi-source biological data for transcriptional regulatory module discovery

Y. Wang, J. Xuan, R. Clarke, 2007, 2007 IEEE/NIH Life Science Systems and Applications Workshop.

Convex analysis for separation of functional patterns in DCE-MRI: A longitudinal study to antiangiogenic therapy

Tsung-Han Chan, P. Choyke, Y. Wang, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Evaluation of gene expression profile of keratinocytes in response to JP-8 jet fuel.

Y. Wang, R. Clarke, Richard Lee, 2004, Toxicology and applied pharmacology.

DDN: a caBIG® analytical tool for differential network analysis

Subha Madhavan, Huai Li, Eric P. Hoffman, 2011, Bioinform..

Differential dependency network analysis to identify condition-specific topological changes in biological networks

Robert Clarke, Huai Li, Zhen Zhang, 2009, Bioinform..

Biomarker identification by knowledge-driven multilevel ICA and motif analysis

Robert Clarke, Zhen Zhang, Li Chen, 2009, Int. J. Data Min. Bioinform..

Identification of condition-specific regulatory modules through multi-level motif and mRNA expression analysis

Robert Clarke, Li Chen, Eric P. Hoffman, 2009, Int. J. Comput. Biol. Drug Des..

Knowledge-guided multi-scale independent component analysis for biomarker identification

Robert Clarke, Zhen Zhang, Li Chen, 2008, BMC Bioinformatics.

Sparse Decomposition of Gene Expression Data to Infer Transcriptional Modules Guided by Motif Information

Robert Clarke, Li Chen, Eric P. Hoffman, 2008, ISBRA.

Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis

Chen Wang, Robert Clarke, Zhen Zhang, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Inferring Condition-Specific miRNA-Gene Modules from miRNA and mRNA Profiling Data

Chen Wang, Robert Clarke, Eric P. Hoffman, 2008, BCBGC.

Inferring regulatory networks.

Y. Wang, J. Xuan, M. Zhan, 2008, Frontiers in bioscience : a journal and virtual library.

BMRF-Net: a software tool for identification of protein interaction subnetworks by a bagging Markov random field-based method

Jianhua Xuan, Li Chen, Ayesha N. Shajahan, 2015, Bioinform..

Motif-guided sparse decomposition of gene expression data for regulatory module identification

Robert Clarke, Huai Li, Li Chen, 2011, BMC Bioinformatics.

Identifying protein interaction subnetworks by a bagging Markov random field-based method

Robert Clarke, Li Chen, Jianhua Xuan, 2012, Nucleic acids research.

Gene Selection for Multiclass Prediction by Weighted Fisher Criterion

Bin Wang, Robert Clarke, Eric P. Hoffman, 2007, EURASIP J. Bioinform. Syst. Biol..

Optimized multilayer perceptrons for molecular classification and diagnosis using genomic data

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2006, Bioinform..

A statistical approach to identifying significant transgenerational methylation changes

Yue Wang, Ye Tian, Bai Zhang, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data

Yue Wang, Niya Wang, Guoqiang Yu, 2013, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2010, J. Mach. Learn. Res..

caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data

Robert Clarke, Huai Li, Eric P. Hoffman, 2008, BMC Bioinformatics.

A ground truth based comparative study on clustering of gene expression data.

Robert Clarke, Jianhua Xuan, Yue Wang, 2008, Frontiers in bioscience : a journal and virtual library.

An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions

David M. Herrington, Li Chen, Yue Joseph Wang, 2009, Bioinform..

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks

Robert Clarke, David M. Herrington, Zhen Zhang, 2013, BMC Systems Biology.

Computational Analysis of Muscular Dystrophy Sub-types Using a Novel Integrative Scheme

Eric P. Hoffman, Jianhua Xuan, Yue Joseph Wang, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

G-CODE: enabling systems medicine through innovative informatics

Subha Madhavan, Robert Clarke, Sivanesan Dakshanamurthy, 2011, Genome Biology.

An Iterative Nonlinear Regression Method for Microarray Data Normalization

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2007 .

Gene network signaling in hormone responsiveness modifies apoptosis and autophagy in breast cancer cells

Robert Clarke, Jianhua Xuan, Rebecca B. Riggins, 2009, The Journal of Steroid Biochemistry and Molecular Biology.

Multilevel support vector regression analysis to identify condition-specific regulatory networks

Robert Clarke, Li Chen, Eric P. Hoffman, 2010, Bioinform..

Biomedical image characterization and radiogenomics

Lihua Li, Y. Wang, R. Clarke, 2020 .

Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

Yue Wang, Mei Chen, David Dagan Feng, 2017, Neurocomputing.

Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation

Heng Huang, Mei Chen, David Dagan Feng, 2017, Neurocomputing.

Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears

Heng Huang, Mei Chen, David Dagan Feng, 2015, ICONIP.

BACOM: in silico detection of genomic deletion types and correction of normal cell contamination in copy number data

Jianfeng Xu, Yue Joseph Wang, Bai Zhang, 2011, Bioinform..

INFERRING BIOLOGICAL NETWORKS

Y. Wang, J. Xuan, M. Zhan, 2006 .

Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses

Robert Clarke, Zhen Zhang, Ye Tian, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Discontinuity-embedded deformable models for surface reconstruction from range images

Yue Wang, Jianhua Xuan, Tülay Adali, 2005, IEEE Signal Processing Letters.

Gene Signaling Pathways Mediating the Opposite Effects of Prepubertal Low-Fat and High-Fat n-3 Polyunsaturated Fatty Acid Diets on Mammary Cancer Risk

Y. Wang, R. Clarke, Richard Lee, 2008, Cancer Prevention Research.

Biologically inspired survival analysis based on integrating gene expression as mediator with genomic variants

Robert Clarke, Yue Joseph Wang, Guoqiang Yu, 2016, Comput. Biol. Medicine.

Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI

Yue Wang, Chong-Yung Chi, Tsung-Han Chan, 2016, IEEE Transactions on Biomedical Engineering.

Enhancing the convex analysis of mixtures technique for estimating DCE-MRI pharmacokinetic parameters

Li Chen, Guoqiang Yu, Yue Wang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells

Heng Huang, Mei Chen, Weidong Cai, 2018, IEEE Transactions on Medical Imaging.

Evaluation of normalization methods for analysis of LC-MS data

Yi Zhao, Yue Joseph Wang, Habtom W. Ressom, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

DBS: a fast and informative segmentation algorithm for DNA copy number analysis

Y. Wang, Guoqiang Yu, Junqiu Yue, 2019, BMC Bioinformatics.

Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence

Robert Clarke, Jianhua Xuan, Yue Joseph Wang, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Bayesian Normalization Model for Label-Free Quantitative Analysis by LC-MS

Yue Joseph Wang, Habtom W. Ressom, Mahlet G. Tadesse, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Normalization of LC-MS data using Gaussian process

Yue Joseph Wang, Habtom W. Ressom, Mahlet G. Tadesse, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Quality assessment of LC-MS metabolomic data

Yue Joseph Wang, Habtom W. Ressom, Mohammad R. Nezami Ranjbar, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Locality-constrained Subcluster Representation Ensemble for lung image classification

Heng Huang, David Dagan Feng, Yang Song, 2015, Medical Image Anal..

Regulatory component analysis: A semi-blind extraction approach to infer gene regulatory networks with imperfect biological knowledge

Robert Clarke, Jianhua Xuan, Yue Joseph Wang, 2012, Signal Process..

Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling

Heng Huang, Mei Chen, David Dagan Feng, 2013, BMC Bioinformatics.

Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors

Heng Huang, D. Feng, Weidong (Tom) Cai, 2016, BMC Bioinformatics.

Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement

Mei Chen, David Dagan Feng, Afaf Tareef, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Modeling and Reconstruction of Mixed Functional and Molecular Patterns

Jianhua Xuan, Yue Joseph Wang, Peter L. Choyke, 2006, Int. J. Biomed. Imaging.

UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samples

Robert Clarke, Zhen Zhang, Niya Wang, 2015, Bioinform..

A Convex Analysis Framework for Blind Separation of Non-Negative Sources

Chong-Yung Chi, Yue Joseph Wang, Wing-Kin Ma, 2008, IEEE Transactions on Signal Processing.

Deformation estimation and analysis for adaptive radiation therapy

Yue Wang, Bin Wang, Jianhua Xuan, 2008, SPIE Medical Imaging.

Network-Constrained Support Vector Machine for Classification

Robert Clarke, Li Chen, Jianhua Xuan, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization

Yue Wang, Chong-Yung Chi, Wing-Kin Ma, 2017, SIAM J. Imaging Sci..

Imaging biomarker analysis of rat mammary fat pads and glandular tissues in MRI images

Jianhua Xuan, Yue Joseph Wang, Matthew T. Freedman, 2008, 2008 19th International Conference on Pattern Recognition.

Integrative Network Analysis to Identify Aberrant Pathway Networks in Ovarian Cancer

Zhen Zhang, Li Chen, Jianhua Xuan, 2011, Pacific Symposium on Biocomputing.

Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network

Yue Wang, David Dagan Feng, Siqi Liu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

VISDA: an open-source caBIGTM analytical tool for data clustering and beyond

Robert Clarke, Huai Li, Louise C. Showe, 2007, Bioinform..

KDDN: an open-source Cytoscape app for constructing differential dependency networks with significant rewiring

Robert Clarke, David M. Herrington, Zhen Zhang, 2015, Bioinform..

Nonlinear System Modeling With Random Matrices: Echo State Networks Revisited

Yue Joseph Wang, Bai Zhang, David J. Miller, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic

Robert Clarke, Li Chen, Jianhua Xuan, 2012, Bioinform..

Identification of Transcriptional Regulatory Networks by Learning the Marginal Function of Outlier Sum Statistic

Robert Clarke, Jianhua Xuan, Yue Joseph Wang, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Learning Structural Changes of Gaussian Graphical Models in Controlled Experiments pdf

Yue Joseph Wang, Bai Zhang, Y. Wang, 2010, UAI.

Ensemble random projection for multi-label classification with application to protein subcellular localization

Sun-Yuan Kung, Yue Wang, Shibiao Wan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An ensemble classifier with random projection for predicting multi-label protein subcellular localization

Sun-Yuan Kung, Yue Wang, Shibiao Wan, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Preclinical magnetic resonance imaging and systems biology in cancer research: current applications and challenges.

Subha Madhavan, Emanuel F Petricoin, Chris Albanese, 2013, The American journal of pathology.

Automatic detection of foreign objects in computed radiography

Yue Wang, T. Adali, Jianhua Xuan, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Data and text mining Optimized multilayer perceptrons for molecular classification and diagnosis using genomic data

E. Hoffman, Y. Wang, J. Xuan, 2006 .

Improved Diagnostics Using Polarization Imaging and Artificial Neural Networks

Jianhua Xuan, Hongzhi Zhao, Yue Wang, 2006, SPIE Medical Imaging.

Robust feature selection by weighted Fisher criterion for multiclass prediction in gene expression profiling

Robert Clarke, Eric P. Hoffman, Jianhua Xuan, 2004, ICPR 2004.

Computational intelligence approach for gene expression data mining and classification

Sun-Yuan Kung, Jianhua Xuan, Yue Joseph Wang, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Knowledge-guided differential dependency network learning for detecting structural changes in biological networks

Ye Tian, Yue Joseph Wang, Bai Zhang, 2011, BCB '11.

Analyzing DNA Copy Number Changes Using Fused Margin Regression

Yue Joseph Wang, Guoqiang Yu, Yuanjian Feng, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

3D model supported virtual environment for prostate disease interpretation and biopsy design

Jianhua Xuan, J. Moul, S. Mun, 1998, Proceedings Pacific Medical Technology Symposium-PACMEDTek. Transcending Time, Distance and Structural Barriers (Cat. No.98EX211).

Knowledge-guided gene ranking by coordinative component analysis

Robert Clarke, Huai Li, Eric P. Hoffman, 2010, BMC Bioinformatics.

Multi-profile Bayesian alignment model for LC-MS data analysis with integration of internal standards

Yue Joseph Wang, Tsung-Heng Tsai, Habtom W. Ressom, 2013, Bioinform..

Profile-Based LC-MS Data Alignment - A Bayesian Approach

Yue Joseph Wang, Tsung-Heng Tsai, Habtom W. Ressom, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Bayesian Alignment Model for LC-MS Data

Yue Joseph Wang, Tsung-Heng Tsai, Habtom W. Ressom, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Bioinformatics and Public Access Resources

Huai Li, Jianhua Xuan, Yue Wang, 2010 .

Visda: an Open-source Cabig Tm Analytical Tool for Data Clustering and Beyond

Michael M. Showe, Y. Wang, J. Xuan, 2022 .

Gene Module Identification from Microarray Data Using Nonnegative Independent Component Analysis

Robert Clarke, Jianhua Xuan, Ting Gong, 2008, Gene regulation and systems biology.

SIMAT: GC-SIM-MS data analysis tool

Y. Wang, H. Ressom, C. D. Poto, 2015, BMC Bioinformatics.

Preclinical magnetic resonance imaging and systems biology in cancer research: current applications and challenges.

J. VanMeter, E. Petricoin, Y. Wang, 2013, The American journal of pathology.

Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization

Chong-Yung Chi, Yue Joseph Wang, Tsung-Han Chan, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic

Y. Wang, J. Xuan, R. Clarke, 2012, Bioinform..

BACOM: in silico detection of genomic deletion types and correction of normal cell contamination in copy number data

I. Shih, Y. Wang, G. Bova, 2011, Bioinform..

Accurate Estimation of Genomic Deletions and Normal Cell Contamination by Bayesian Analysis of Mixtures

Jianfeng Xu, Yue Joseph Wang, Bai Zhang, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Gene expression dissection by non-negative well-grounded source separation

Yue Wang, Yitan Zhu, Tsung-Han Chan, 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.

Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI

Tsung-Han Chan, Y. Wang, Chong-Yung Chi, 2016, IEEE Transactions on Biomedical Engineering.

A Convex Analysis Based Criterion for Blind Separation of Non-Negative Sources

Yue Wang, Chong-Yung Chi, Wing-Kin Ma, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Blind Separation of Multichannel Biomedical Image Patterns by Non-negative Least-Correlated Component Analysis

Chong-Yung Chi, Yue Joseph Wang, Tsung-Han Chan, 2006, PRIB.

Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging pdf

Jie Zhang, Hao Gao, Yue Joseph Wang, 2011, ArXiv.

BMRF-Net: a software tool for identification of protein interaction subnetworks by a bagging Markov random field-based method

Robert O. Barnes, Y. Wang, J. Xuan, 2015, Bioinform..

Identifying cancer biomarkers by network-constrained support vector machines

Y. Wang, J. Xuan, R. Clarke, 2011, BMC Systems Biology.

Latent Variable and nICA Modeling of Pathway Gene Module Composite

E. Hoffman, Y. Wang, J. Xuan, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.