Jack Y. Yang

发表

Developing Secure Privacy Preserving and Causal Genetic Alteration Research in Building an Innovative Systematic Pedagogy for Integrated Research and Education: The INSPIRE Model

Wenbing Zhao, Hamid R. Arabnia, Mary Qu Yang, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility

John R. Talburt, Jack Y. Yang, Xuesen Wu, 2021, Transactions on Computational Science and Computational Intelligence.

A comparative study of different machine learning methods on microarray gene expression data

Jack Y. Yang, Youping Deng, M. Pirooznia, 2008, BMC Genomics.

BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features

Jack Y. Yang, Mary Yang, Liangjiang Wang, 2010, BMC Systems Biology.

Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners

Christopher J. Oldfield, Jack Y. Yang, A. Dunker, 2008, BMC Genomics.

Transcription factor and microRNA regulation in androgen-dependent and -independent prostate cancer cells

Jack Y. Yang, Yadong Wang, Weixing Feng, 2008, BMC Genomics.

Enhancing Joint Protein Structural Prediction by Ensemble Methods

Jack Y. Yang, Mary Yang, 2005 .

Selecting subsets of newly extracted features from PCA and PLS in microarray data analysis

Jack Y. Yang, Guozheng Li, Mary Yang, 2008, BMC Genomics.

The unfoldomics decade: an update on intrinsically disordered proteins

Christopher J. Oldfield, Jack Y. Yang, V. Vacic, 2008, BMC Genomics.

Transcriptome profiling of Saccharomyces cerevisiae mutants lacking C2H2 zinc finger proteins

Youping Deng, Jinghe Mao, Jack Y. Yang, 2008, BMC Genomics.

Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition

Chaoyang Zhang, Youping Deng, Jack Y. Yang, 2008, BMC Genomics.

Genomic signatures and gene networking: challenges and promises

Jack Y. Yang, Liangjiang Wang, Youping Deng, 2011, BMC Genomics.

Transcription Factor and lncRNA Regulatory Networks Identify Key Elements in Lung Adenocarcinoma

Jack Y. Yang, Renchu Guan, Mary Yang, 2018, Genes.

Identification of transcription factor and microRNA binding sites in responsible to fetal alcohol syndrome

Guohua Wang, Xin Wang, Jack Y. Yang, 2008, BMC Genomics.

Investigation of transmembrane proteins using a computational approach

Jack Y. Yang, A. Dunker, Youping Deng, 2008, BMC Genomics.

CHAPTER 1 DISCOVERING 3-D PROTEIN STRUCTURES FOR OPTIMAL STRUCTURE ALIGNMENT

Jack Y. Yang, V. Snášel, A. Abraham, 2012 .

Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes

Youping Deng, Andrzej Niemierko, Jack Y. Yang, 2008, BMC Genomics.

Ensemble of Probabilistic Neural Networks for Protein Fold Recognition

Yuehui Chen, Xueqin Zhang, Jack Y. Yang, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Differential expression of human telomerase catalytic subunit mRNA by In situ hybridization in pheochromocytomas

Yinfen Qin, Minyi Wei, Jack Y. Yang, 2006, Endocrine pathology.

The clinical significance of snail protein expression in gastric cancer: a meta-analysis

Hamid R. Arabnia, Jun S. Liu, Youping Deng, 2016, Human Genomics.

Improving Prediction Accuracy of Tumor Classification by Re-using the Discarded Genes during Gene Selection

Jack Y. Yang, Guozheng Li, Youping Deng, 2007 .

2 K 09 and Thereafter : The Coming Era of Integrative Bioinformatics

Jack Y. Yang, R. Bajcsy, M. Borodovsky, 2010 .

eScholarship Title A Conceptual Cellular Interaction Model of Left Ventricular Remodelling Post-MI : Dynamic Network with Exit-Entry Competition Strategy Permalink

Jack Y. Yang, M. Lindsey, Yufang Jin, 2010 .

Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches

Jack Y. Yang, Mary Yang, Zuojie Luo, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Scientific Review: A new insight on predicting tumour malignancies using synergistic computational intelligence and bioinformatics approaches

Jack Y. Yang, A. Niemierko, Mary Yang, 2009, CI 2009.

Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Yifan Zhang, Renchu Guan, Weida Tong, 2018, BMC Medical Genomics.

Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques

Jack Y. Yang, Mary Yang, Okan K. Ersoy, 2003, ICANN.

Intrinsically Disordered Proteins: An Update Keynote Paper of IEEE 7 th BIBE, Oct. 14-17 Harvard Medical School Conference Center

Jack Y. Yang, P. Romero, Z. Obradovic, 2007 .

Reconstruct gene regulatory network using slice pattern model

Guohua Wang, Youping Deng, Jack Y. Yang, 2009, BMC Genomics.

A hybrid machine learning-based method for classifying the Cushing's Syndrome with comorbid adrenocortical lesions

Xudong Huang, Youping Deng, Jack Y. Yang, 2008, BMC Genomics.

Developing New Variants of the Self-Organizing Feature Map Algorithms

Mary Qu Yang, Jack Y. Yang, Okan K. Ersoy, 2006 .

Identification of Transmembrane Proteins Using Variants of the Self‐Organizing Feature Map Algorithm

Mary Qu Yang, Jack Y. Yang, Jack Y. Yang, 2007 .

Sequential bifurcation Approach to Learning protein Functional Classes

Mary Qu Yang, Jack Y. Yang, Okan K. Ersoy, 2005, Advances in Bioinformatics and Its Applications.

International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA

Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, 2007, BIOCOMP.

Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume II, June 25-28, 2007, Las Vegas, Nevada, USA

Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, 2007, IC-AI.

WITHDRAWN: Developing new variants of the self-organizing feature map algorithms with identification of transmembrane proteins

Mary Qu Yang, Jack Y. Yang, Jack Y. Yang, 2006 .

Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, GEM 2007, June 25-28, 2007, Las Vegas, Nevada, USA

Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang, 2007, GEM.

Developing Intelligent Systems for Distinguishing Benign and Malignant Tumors

Yan Ma, Mary Qu Yang, Jack Y. Yang, 2006 .

Exploring big-data analysis using integrative systems biology approaches for kidney renal clear cell carcinoma studies

Jun S. Liu, Jack Y. Yang, A. Niemierko, 2014 .

COMPUTATIONAL INTELLIGENCE APPROACHES FOR PROTEIN FOLD RECOGNITION

Yuehui Chen, Jack Y. Yang, Yaou Zhao, 2009 .

Statistical methods on detecting differentially expressed genes for RNA-seq data

Saralees Nadarajah, Jack Y. Yang, Youping Deng, 2011, BMC Systems Biology.

3D Protein structure prediction with genetic tabu search algorithm

Ting Wang, Jack Y. Yang, Mary Yang, 2009, 2009 Second International Symposium on Knowledge Acquisition and Modeling.

2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research

Yunlong Liu, A Keith Dunker, Ruzena Bajcsy, 2010, BMC Genomics.

The emerging genomics and systems biology research lead to systems genomics studies

Jun S. Liu, Jack Y. Yang, A. Niemierko, 2014, BMC Genomics.

In silico comparison of transcript abundances during Arabidopsis thaliana and Glycine max resistance to Fusarium virguliforme

Mengxia Zhu, Jack Y. Yang, Khalid Meksem, 2008, BMC Genomics.

Identification of genes and pathways involved in kidney renal clear cell carcinoma

Yunlong Liu, Dong Xu, Hamid R. Arabnia, 2014, BMC Bioinformatics.

Predicting siRNA potency with random forests and support vector machines

Liangjiang Wang, Caiyan Huang, Jack Y. Yang, 2010, BMC Genomics.

Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data

Jack Y. Yang, Liangjiang Wang, S. Teng, 2013, BMC Medical Genomics.

Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms

Yunlong Liu, Dong Xu, Hamid R. Arabnia, 2014, BMC Bioinformatics.

Intrinsically Disordered Proteins: An Update

Zoran Obradovic, Jack Y. Yang, A. Keith Dunker, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Predicting protein disorder by analyzing amino acid sequence

Jack Y. Yang, Mary Qu Yang, Mary Yang, 2008, BMC Genomics.

Identification of Intrinsically Unstructured Proteins using hierarchical classifier

Jack Y. Yang, Mary Yang, Jack Y. Yang, 2008, Int. J. Data Min. Bioinform..

IUP: Intrinsically Unstructured Protein predictor - A software tool for analyzing polypeptide sequences

Jack Y. Yang, Mary Yang, Jack Y. Yang, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

Identification of Intrinsically Unstructured Regions in Proteins Using Primary Structure

Jack Y. Yang, Mary Yang, Jack Y. Yang, 2006, BIOCOMP.

Comparison of feature selection and classification for MALDI-MS data

Qingzhong Liu, Mary Qu Yang, Mengyu Qiao, 2009, BMC Genomics.

Genomic analyses based on pulmonary adenocarcinoma in situ reveal early lung cancer signature

Jack Y. Yang, Dong Xu, Renchu Guan, 2018, BMC Medical Genomics.

Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression

Yifan Zhang, Renchu Guan, Weida Tong, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY (ISMB)

Kai Wang, Elon Portugaly, Miao Zhang, 2009 .

Promoting inter/multidisciplinary education and research in bioinformatics, systems biology and intelligent computing

Yufang Jin, Jack Y. Yang, Mary Yang, 2009, Int. J. Comput. Biol. Drug Des..

Genomics, molecular imaging, bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research

Mary Qu Yang, Youping Deng, Hamid R Arabnia, 2008, BMC Genomics.

Intrinsic Disorder in Protein-Protein Interaction Networks: Case Studies of Complexes Involving p53 and 14-3-3

Jack Y. Yang, A. Keith Dunker, Vladimir N. Uversky, 2007, BIOCOMP.

Association of six CpG-SNPs in the inflammation-related genes with coronary heart disease

Jack Y. Yang, S. Duan, Youping Deng, 2016, Human Genomics.

Redundant Gene Selection Based on Particle Swarm Optimization

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes

Gengfeng Wu, Jack Y. Yang, Mary Yang, 2009, Int. J. Data Min. Bioinform..

Orthogonal projection weights in dimension reduction based on Partial Least Squares

Mary Qu Yang, Jack Y. Yang, Guo-Zheng Li, 2009, CI 2009.

Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Association of six CpG-SNPs in the inflammation-related genes with coronary heart disease

Jack Y. Yang, S. Duan, William Yang, 2016, Human Genomics.

Developing discriminate model and comparative analysis of differentially expressed genes and pathways for bloodstream samples of diabetes mellitus type 2

Xinyu Yang, Yan Li, Chang Liu, 2014, BMC Bioinformatics.

A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study

Qingzhong Liu, Jing Li, William Yang, 2014, BMC Bioinformatics.

Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Jack Y. Yang, W. Tong, Renchu Guan, 2018, BMC Medical Genomics.

Byzantine fault tolerance for collaborative editing with commutative operations

Xiong Luo, Chaomin Luo, Wenbing Zhao, 2016, 2016 IEEE International Conference on Electro Information Technology (EIT).

Feature selection for semi-supervised multi-label learning with application to gene function analysis

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2010, BCB '10.

Genomic analyses based on pulmonary adenocarcinoma in situ reveal early lung cancer signature

Jack Y. Yang, Dong Xu, Renchu Guan, 2018, BMC Medical Genomics.

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theory

Dan Margolis, Elizabeth A Krupinski, Ronald Gottlieb, 2010, BMC Genomics.

An Enhanced Lipschitz Embedding Classifier for Multi-Emotion Speech Analysis

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2009, Int. J. Pattern Recognit. Artif. Intell..

Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection

Guo-Zheng Li, Hao-Hua Meng, Youping Deng, 2008, BMC Genomics.

Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Protein disorder prediction at multiple levels of sensitivity and specificity

Jianlin Cheng, Jack Y. Yang, Joshua Hecker, 2008, BMC Genomics.

A conceptual cellular interaction model of left ventricular remodelling post-MI: dynamic network with exit-entry competition strategy

Yufang Jin, Jack Y. Yang, Hai-Chao Han, 2010, BMC Systems Biology.

Supervised learning-based tagSNP selection for genome-wide disease classifications

Qingzhong Liu, Xudong Huang, Andrew H Sung, 2008, BMC Genomics.

Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches

Wenqian Yu, Jack Y. Yang, Mary Yang, 2008, IC-AI.

Transforming medicine: functional informatics, drug design, and personalised healthcare

Jack Y. Yang, Mary Yang, Jack Y. Yang, 2008, Int. J. Funct. Informatics Pers. Medicine.

Feature selection for the imbalanced QSAR problems by using EasyEnsemble

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2008, Int. J. Comput. Biol. Drug Des..

Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2008, Int. J. Comput. Biol. Drug Des..

Asymmetric bagging and feature selection for activities prediction of drug molecules

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2008, Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007).

Prediction of DNA-binding residues from protein sequence information using random forests

Liangjiang Wang, Jack Y. Yang, Mary Qu Yang, 2009, BMC Genomics.

Promoting synergistic research and education in genomics and bioinformatics

Youping Deng, Jack Y. Yang, Mary Qu Yang, 2008, BMC Genomics.

Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis

Jack Y. Yang, Renchu Guan, Mary Yang, 2018, BMC Medical Genomics.

Prediction of lipid-interacting amino acid residues from sequence features

Jack Y. Yang, Liangjiang Wang, Stephanie Jimenez Irausquin, 2008, Int. J. Comput. Biol. Drug Des..

High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics

Qingzhong Liu, Mary Qu Yang, Youping Deng, 2009, BMC Genomics.

Combining support vector regression with feature selection for multivariate calibration

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2009, Neural Computing and Applications.

The emerging role of microRNA-4487/6845-3p in Alzheimer’s disease pathologies is induced by Aβ25–35 triggered in SH-SY5Y cell

Jing Cheng, Rong Zhang, William Yang, 2018, BMC Systems Biology.

Kernelized partial least squares for feature reduction and classification of gene microarray data

Jack Y. Yang, Dan Margolis, Youping Deng, 2011, BMC Systems Biology.

YAPS: Yet Another Protein Similarity

Václav Snásel, Ajith Abraham, Jack Y. Yang, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Prosima: Protein similarity algorithm

Václav Snásel, Ajith Abraham, Jack Y. Yang, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Assessing protein function using a combination of supervised and unsupervised learning

Jack Y. Yang, Mary Yang, Jack Y. Yang, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids

Jack Y. Yang, Mary Yang, Guo-Zheng Li, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

From genes to networks: in systematic points of view

Yunlong Liu, Hamid R. Arabnia, Ke Zhang, 2011, BMC Systems Biology.

New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data

Jack Y. Yang, Mary Yang, Alda Mizaku, 2008, Int. J. Funct. Informatics Pers. Medicine.

The Aquila Digital Community The Aquila Digital Community

Jack Y. Yang, Youping Deng, H. Arabnia, 2022 .

Stock Index Forecasting Using PSO Based Selective Neural Network Ensemble

Yuehui Chen, Xueqin Zhang, Jack Y. Yang, 2007, IC-AI.

The Aquila Digital Community The Aquila Digital Community

Jack Y. Yang, Youping Deng, H. Arabnia, 2022 .

A Computational Approach to Understand Arabidopsis thaliana and Soybean Resistance to Fusarium solani (Fsg)

Jack Y. Yang, Mengxia Zhu, Jiazheng Yuan, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.