Jack Y. Yang
Affiliations:- Harvard University, Harvard Medical School, Cambridge, MA, USA
According to our database1,
Jack Y. Yang
authored at least 71 papers
between 2003 and 2018.
Collaborative distances:
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Bibliography
2018
The emerging role of microRNA-4487/6845-3p in Alzheimer's disease pathologies is induced by Aβ25-35 triggered in SH-SY5Y cell.
BMC Syst. Biol., 2018
2017
Toward precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Comprehensive analysis of pulmonary adenocarcinoma in situ (AIS) revealed new insights into lung cancer progression.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
J. Supercomput., 2016
Proceedings of the 2016 IEEE International Conference on Electro Information Technology, 2016
2014
BMC Bioinform., 2014
Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms.
BMC Bioinform., 2014
Developing discriminate model and comparative analysis of differentially expressed genes and pathways for bloodstream samples of diabetes mellitus type 2.
BMC Bioinform., 2014
A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study.
BMC Bioinform., 2014
2011
Kernelized partial least squares for feature reduction and classification of gene microarray data.
BMC Syst. Biol., 2011
BMC Syst. Biol., 2011
2010
Searching Protein 3-D Structures for Optimal Structure Alignment Using Intelligent Algorithms and Data Structures.
IEEE Trans. Inf. Technol. Biomed., 2010
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning.
Int. J. Comput. Biol. Drug Des., 2010
Identifying Differentially Expressed Genes based on probe level data for GeneChip arrays.
Int. J. Comput. Biol. Drug Des., 2010
BMC Syst. Biol., 2010
BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features.
BMC Syst. Biol., 2010
A conceptual cellular interaction model of left ventricular remodelling post-MI: dynamic network with exit-entry competition strategy.
BMC Syst. Biol., 2010
Feature selection for semi-supervised multi-label learning with application to gene function analysis.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
Combining support vector regression with feature selection for multivariate calibration.
Neural Comput. Appl., 2009
Int. J. Pattern Recognit. Artif. Intell., 2009
Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes.
Int. J. Data Min. Bioinform., 2009
Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis.
Int. J. Comput. Biol. Drug Des., 2009
Promoting inter/multidisciplinary education and research in bioinformatics, systems biology and intelligent computing.
Int. J. Comput. Biol. Drug Des., 2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
The Impact of Supercomputing in the Next Generation Sequencing Data Mining.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Proceedings of the International Joint Conferences on Bioinformatics, 2009
2008
Int. J. Pattern Recognit. Artif. Intell., 2008
Int. J. Funct. Informatics Pers. Medicine, 2008
Transforming medicine: functional informatics, drug design, and personalised healthcare.
Int. J. Funct. Informatics Pers. Medicine, 2008
Int. J. Funct. Informatics Pers. Medicine, 2008
New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.
Int. J. Funct. Informatics Pers. Medicine, 2008
Int. J. Data Min. Bioinform., 2008
Int. J. Comput. Biol. Drug Des., 2008
Int. J. Comput. Biol. Drug Des., 2008
Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection.
Int. J. Comput. Biol. Drug Des., 2008
Promoting synergistic research and education in computational biology and drug design.
Int. J. Comput. Biol. Drug Des., 2008
Int. J. Comput. Biol. Drug Des., 2008
BMC Bioinform., 2008
Asymmetric bagging and feature selection for activities prediction of drug molecules.
BMC Bioinform., 2008
High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2008
Proceedings of the Bioinformatics Research and Applications, 2008
Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008
2007
Classification of proteins multiple-labelled and single-labelled with protein functional classes.
Int. J. Gen. Syst., 2007
Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules.
Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007
Stock Index Forecasting Using PSO Based Selective Neural Network Ensemble.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007
Support Vector Machines Applied to Research of Ancient Chinese Porcelain: Modeling of Jun Glaze.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007
Feature Selection for Co-Training: A QSAR Study.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007
Evolving MIMO Flexible Neural Trees for Nonlinear System Identification.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007
Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
The 2007 World Congress in Computer Science, Computer Engineering, and Applied Computing Invited Banquet Keynote Lecture: Using Bioinformatics and Machine Learning to Predict Potential Malignancies.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
Intrinsic Disorder in Protein-Protein Interaction Networks: Case Studies of Complexes Involving p53 and 14-3-3.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007
A Computational Approach to Understand Arabidopsis thaliana and Soybean Resistance to Fusarium solani (Fsg).
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Non-Monotonic Radio-Sensitivity over Tumor Volumes on Adjuvant Radio Therapy A New Insight on Cell Killing and Modeling.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
An Effective Interwoven Loop Design Application for Two-Channel Microarray Experiments.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Learning from Sequences with Determining Correlation between Transmembrane and Protein Disorder.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006
Identification of Intrinsically Unstructured Regions in Proteins Using Primary Structure.
Proceedings of the 2006 International Conference on Bioinformatics & Computational Biology, 2006
Assessing protein function using a combination of supervised and unsupervised learning.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
IUP: Intrinsically Unstructured Protein predictor - A software tool for analyzing polypeptide sequences.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
2005
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
2003
Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003