Jack Y. Yang - researchr alias

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2010

International Conference on Bioinformatics & Computational Biology, BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 VolumesHamid R. Arabnia, Quoc-Nam Tran, Rui Chang, Matthew He, Andy Marsh, Ashu M. G. Solo, Jack Y. Yang, editors, CSREA Press, 2010.

Identifying Differentially Expressed Genes based on probe level data for GeneChip arraysZhongxue Chen, Monnie McGee, Qingzhong Liu, Y. Megan Kong, Xudong Huang, Jack Y. Yang, Richard H. Scheuermann. ijcbdd, 3(3):237-257, 2010. [doi]

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learningWalker H. Land Jr., Dan Margolis, Ronald Gottlieb, Jack Y. Yang, Elizabeth A. Krupinski. ijcbdd, 3(1):15-18, 2010. [doi]

Feature selection for semi-supervised multi-label learning with application to gene function analysisGuo-Zheng Li, Mingyu You, Lei Ge, Jack Y. Yang, Mary Qu Yang. bcb 2010: 354-357 [doi]

Searching Protein 3-D Structures for Optimal Structure Alignment Using Intelligent Algorithms and Data StructuresTomás Novosad, Václav Snásel, Ajith Abraham, Jack Y. Yang. titb, 14(6):1378-1386, 2010. [doi]

2009

Redundant Gene Selection Based on Particle Swarm OptimizationSu-Fen Chen, Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang. ijcbs 2009: 10-16 [doi]

Combining support vector regression with feature selection for multivariate calibrationGuo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang. nca, 18(7):813-820, 2009. [doi]

Prosima: Protein Similarity AlgorithmTomás Novosad, Václav Snásel, Ajith Abraham, Jack Y. Yang. nabic 2009: 84-91 [doi]

Next Generation Sequence Analysis Using Genetic Algorithms on Multi-core TechnologyKaiqi Xiong, Sang C. Suh, Mary Qu Yang, Jack Y. Yang, Hamid R. Arabnia. ijcbs 2009: 190-191 [doi]

Promoting inter/multidisciplinary education and research in bioinformatics, systems biology and intelligent computingMary Qu Yang, Andrzej Niemierko, Jack Y. Yang, Yufang Jin. ijcbdd, 2(3):207-220, 2009. [doi]

The Impact of Supercomputing in the Next Generation Sequencing Data MiningMary Qu Yang, Sang C. Suh, Kaiqi Xiong, Jack Y. Yang, Hamid R. Arabnia. pdpta 2009: 532

Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysisMary Qu Yang, Jack Y. Yang. ijcbdd, 2(2):204-206, 2009. [doi]

An Enhanced Lipschitz Embedding Classifier for Multi-Emotion Speech AnalysisMingyu You, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang. ijprai, 23(8):1685-1700, 2009. [doi]

Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probesXue-Qiang Zeng, Guo-Zheng Li, Gengfeng Wu, Jack Y. Yang, Mary Qu Yang. ijdmb, 3(1):85-103, 2009. [doi]

International Joint Conferences on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS 2009, Shanghai, China, 3-5 August 2009Joe Zhang, Guo-Zheng Li, Jack Y. Yang, editors, IEEE Computer Society, 2009.

2008

International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 VolumesHamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, editors, CSREA Press, 2008.

Ensemble Voting System for Multiclass protein fold RecognitionYuehui Chen, Feng Chen, Jack Y. Yang, Mary Qu Yang. ijprai, 22(4):747-763, 2008. [doi]

2009 and beyond: the decade of personalised medicinePan Du, Simon M. Lin, Mary Qu Yang, Jack Y. Yang. ijcbdd, 1(4):329-333, 2008. [doi]

Promoting synergistic research and education in computational biology and drug designJonathan L. Jesneck, Jack Y. Yang. ijcbdd, 1(3):219-223, 2008. [doi]

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical dataWalker H. Land Jr., John J. Heine, Thomas Raway, Alda Mizaku, Nataliya Kovalchuk, Jack Y. Yang, Mary Qu Yang. ijfipm, 1(2):111-139, 2008. [doi]

Asymmetric bagging and feature selection for activities prediction of drug moleculesGuo-Zheng Li, Hao-Hua Meng, Wen-Cong Lu, Jack Y. Yang, Mary Qu Yang. bmcbi, 9(S-6), 2008. [doi]

Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selectionGuo-Zheng Li, Jack Y. Yang, Wen-Cong Lu, Dan Li, Mary Qu Yang. ijcbdd, 1(1):1-13, 2008. [doi]

Feature selection for the imbalanced QSAR problems by using EasyEnsembleTian-Yu Liu, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang. ijcbdd, 1(4):334-346, 2008. [doi]

Feature selection for gene function prediction using multi-labelled lazy learningYuhai Liu, Guo-Zheng Li, Hong-Yu Zhang, Mary Qu Yang, Jack Y. Yang. ijfipm, 1(3):223-233, 2008. [doi]

Abnormal Traffic Detection in VoIP by Using Machine Learning ApproachesYuhai Liu, Guo-Zheng Li, Wenqian Yu, Jianqun Xu, Jack Y. Yang, Mary Qu Yang. icai 2008: 295-300

Prediction of lipid-interacting amino acid residues from sequence featuresLiangjiang Wang, Stephanie Jimenez Irausquin, Jack Y. Yang. ijcbdd, 1(1):14-25, 2008. [doi]

High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote LectureJack Y. Yang, Mary Qu Yang, Hamid R. Arabnia. pdpta 2008: 823-825

Identification of Intrinsically Unstructured Proteins using hierarchical classifierJack Y. Yang, Mary Qu Yang. ijdmb, 2(2):121-133, 2008. [doi]

Transforming medicine: functional informatics, drug design, and personalised healthcareJack Y. Yang, Mary Qu Yang. ijfipm, 1(1):1-7, 2008. [doi]

A Personalized Traditional Chinese Medicine System in the case of Cai s gynecologyMingyu You, Guo-Zheng Li, Xue-Qiang Zeng, Lei Ge, Lijuan Bi, Suying Huang, Mary Qu Yang, Jack Y. Yang. ijfipm, 1(4):419-438, 2008. [doi]

Dimension reduction with redundant gene elimination for tumor classificationXue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang, Gengfeng Wu. bmcbi, 9(S-6), 2008. [doi]

A Novel Metric for Redundant Gene Elimination Based on Discriminative ContributionXue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang. isbra 2008: 256-267 [doi]

2007

International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USAHamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, editors, CSREA Press, 2007.

Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume II, June 25-28, 2007, Las Vegas, Nevada, USAHamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, editors, CSREA Press, 2007.

Proceedings of the 2007 International Conference on Scientific Computing, CSC 2007, June 25-28, 2007, Las Vegas, Nevada, USAHamid R. Arabnia, Jack Y. Yang, Mary Qu Yang, editors, CSREA Press, 2007.

International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USAHamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, editors, CSREA Press, 2007.

Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume I, June 25-28, 2007, Las Vegas, Nevada, USAHamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, editors, CSREA Press, 2007.

Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, GEM 2007, June 25-28, 2007, Las Vegas, Nevada, USAHamid R. Arabnia, Jack Y. Yang, Mary Qu Yang, editors, CSREA Press, 2007.

Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor ClassificationHua-Long Bu, Guo-Zheng Li, Xue-Qiang Zeng, Jack Y. Yang, Mary Qu Yang. bibe 2007: 967-973 [doi]

Ensemble of Probabilistic Neural Networks for Protein Fold RecognitionYuehui Chen, Xueqin Zhang, Mary Qu Yang, Jack Y. Yang. bibe 2007: 66-70 [doi]

Evolving MIMO Flexible Neural Trees for Nonlinear System IdentificationYuehui Chen, Feng Chen, Jack Y. Yang. icai 2007: 373-377

Intrinsically Disordered Proteins: Predictions and ApplicationsA. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky. bibe 2007: 1 [doi]

Intrinsically Disordered Proteins: An UpdateA. Keith Dunker, Christopher J. Oldfield, Jingwei Meng, Pedro Romero, Jack Y. Yang, Zoran Obradovic, Vladimir N. Uversky. bibe 2007: 49-58 [doi]

Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino AcidsGuo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang. bibe 2007: 842-848 [doi]

Feature Selection for Co-Training: A QSAR StudyGuo-Zheng Li, Dan Li, Wen-Cong Lu, Jack Y. Yang, Mary Qu Yang. icai 2007: 138-146

Asymmetric Bagging and Feature Selection for Activities Prediction of Drug MoleculesGuo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang. imsccs 2007: 108-114 [doi]

Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor ClassificationGuo-Zheng Li, Xue-Qiang Zeng, Jack Y. Yang, Mary Qu Yang. bibe 2007: 1439-1444 [doi]

Intrinsic Disorder in Protein-Protein Interaction Networks: Case Studies of Complexes Involving p53 and 14-3-3Christopher J. Oldfield, Jingwei Meng, Jack Y. Yang, Vladimir N. Uversky, A. Keith Dunker. psb 2007: 553-566

An Effective Interwoven Loop Design Application for Two-Channel Microarray ExperimentsMehdi Pirooznia, Arun Rawat, Jack Y. Yang, Mary Qu Yang, Ping Gong, Edward J. Perkins, Youping Deng. bibe 2007: 187-191 [doi]

Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task LearningJack Y. Yang, Guo-Zheng Li, Li-Xin Liu, Mary Qu Yang. psb 2007: 515-522

An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine LearningMary Qu Yang, Jack Y. Yang. bibe 2007: 9-10 [doi]

The 2007 World Congress in Computer Science, Computer Engineering, and Applied Computing Invited Banquet Keynote Lecture: Using Bioinformatics and Machine Learning to Predict Potential MalignanciesJack Y. Yang, Mary Qu Yang. psb 2007: 282-288

Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology ApproachesJack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Zuojie Luo, Jianling Li. cibcb 2007: 46-53 [doi]

Non-Monotonic Radio-Sensitivity over Tumor Volumes on Adjuvant Radio Therapy A New Insight on Cell Killing and ModelingJack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Youping Deng. bibe 2007: 524-531 [doi]

Support Vector Machines Applied to Research of Ancient Chinese Porcelain: Modeling of Jun GlazeLu-Jin You, Guo-Zheng Li, Jack Y. Yang. icai 2007: 653-658

A Computational Approach to Understand Arabidopsis thaliana and Soybean Resistance to Fusarium solani (Fsg)Jiazheng Yuan, Mengxia Zhu, M. Javed Iqbal, Jack Y. Yang, David A. Lightfoot. bibe 2007: 585-592 [doi]

Stock Index Forecasting Using PSO Based Selective Neural Network EnsembleXueqin Zhang, Yuehui Chen, Jack Y. Yang. icai 2007: 260-264

2006

Learning from Sequences with Determining Correlation between Transmembrane and Protein DisorderJack Y. Yang, Mary Qu Yang. psb 2006: 345-351

Assessing protein function using a combination of supervised and unsupervised learningJack Y. Yang, Mary Qu Yang. bibe 2006: 35-44

IUP: Intrinsically Unstructured Protein predictor - A software tool for analyzing polypeptide sequencesMary Qu Yang, Jack Y. Yang. bibe 2006: 3-11

Identification of Intrinsically Unstructured Regions in Proteins Using Primary StructureMary Qu Yang, Jack Y. Yang. psb 2006: 303-309

2003

Exploring Protein Functional Relationships Using Genomic Information and Data Mining TechniquesJack Y. Yang, Mary Qu Yang, Okan K. Ersoy. icann 2003: 1073-1080 [doi]