| 2009 | ||
|---|---|---|
| 52 | Hamid R. Arabnia, Mary Qu Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes CSREA Press 2009 | |
| 51 | Mary Qu Yang, Sang C. Suh, Kaiqi Xiong, Jack Y. Yang, Hamid R. Arabnia: The Impact of Supercomputing in the Next Generation Sequencing Data Mining. PDPTA 2009: 532 | |
| 50 | Mary Qu Yang, Jack Y. Yang: Lecture notes: 2010 and beyond, the decade of high-performance computing for the next-generation sequence analysis. I. J. Computational Biology and Drug Design 2(2): 204-206 (2009) | |
| 49 | Xue-Qiang Zeng, Guo-Zheng Li, Gengfeng Wu, Jack Y. Yang, Mary Qu Yang: Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes. IJDMB 3(1): 85-103 (2009) | |
| 2008 | ||
| 48 | Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes CSREA Press 2008 | |
| 47 | Jens Lichtenberg, Edwin Jacox, Mary Qu Yang, Laura Elnitski, Lonnie R. Welch: Word-Based Characterization of the Bidirectional Promoters from the Human DNA-Repair Pathway. BIOCOMP 2008: 29-33 | |
| 46 | Yuhai Liu, Guo-Zheng Li, Wenqian Yu, Jianqun Xu, Jack Y. Yang, Mary Qu Yang: Abnormal Traffic Detection in VoIP by Using Machine Learning Approaches. IC-AI 2008: 295-300 | |
| 45 | Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang: A Novel Metric for Redundant Gene Elimination Based on Discriminative Contribution. ISBRA 2008: 256-267 | |
| 44 | Jack Y. Yang, Mary Qu Yang, Hamid R. Arabnia: High Performance Computing and Computational Intelligence: Link to the Translational Medicine and Personalized Healthcare - Banquet Keynote Lecture. PDPTA 2008: 823-825 | |
| 43 | Frank Emmert-Streib, Hamid R. Arabnia, Mary Qu Yang: Preface. Applied Artificial Intelligence 22(7&8): 617-618 (2008) | |
| 42 | Guo-Zheng Li, Hao-Hua Meng, Wen-Cong Lu, Jack Y. Yang, Mary Qu Yang: Asymmetric bagging and feature selection for activities prediction of drug molecules. BMC Bioinformatics 9(S-6): (2008) | |
| 41 | Mary Qu Yang, James Taylor, Laura Elnitski: Comparative analyses of bidirectional promoters in vertebrates. BMC Bioinformatics 9(S-6): (2008) | |
| 40 | Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang, Gengfeng Wu: Dimension reduction with redundant gene elimination for tumor classification. BMC Bioinformatics 9(S-6): (2008) | |
| 39 | Guo-Zheng Li, Jack Y. Yang, Wen-Cong Lu, Dan Li, Mary Qu Yang: Improving prediction accuracy of drug activities by utilising unlabelled instances with feature selection. I. J. Computational Biology and Drug Design 1(1): 1-13 (2008) | |
| 38 | Pan Du, Simon M. Lin, Mary Qu Yang, Jack Y. Yang: 2009 and beyond: the decade of personalised medicine. I. J. Computational Biology and Drug Design 1(4): 329-333 (2008) | |
| 37 | Tian-Yu Liu, Guo-Zheng Li, Jack Y. Yang, Mary Qu Yang: Feature selection for the imbalanced QSAR problems by using EasyEnsemble. I. J. Computational Biology and Drug Design 1(4): 334-346 (2008) | |
| 36 | Jack Y. Yang, Mary Qu Yang: Transforming medicine: functional informatics, drug design, and personalised healthcare. I. J. Functional Informatics and Personalised Medicine 1(1): 1-7 (2008) | |
| 35 | Walker H. Land Jr., John J. Heine, Thomas Raway, Alda Mizaku, Nataliya Kovalchuk, Jack Y. Yang, Mary Qu Yang: New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data. I. J. Functional Informatics and Personalised Medicine 1(2): 111-139 (2008) | |
| 34 | Yuhai Liu, Guo-Zheng Li, Hong-Yu Zhang, Mary Qu Yang, Jack Y. Yang: Feature selection for gene function prediction using multi-labelled lazy learning. I. J. Functional Informatics and Personalised Medicine 1(3): 223-233 (2008) | |
| 33 | Nazeih M. Botros, Ying Chen, Mary Qu Yang: Functional informatics and personalised medicine are key synergistic components of translational medicine. I. J. Functional Informatics and Personalised Medicine 1(4): 329-334 (2008) | |
| 32 | Mingyu You, Guo-Zheng Li, Xue-Qiang Zeng, Lei Ge, Lijuan Bi, Suying Huang, Mary Qu Yang, Jack Y. Yang: A Personalized Traditional Chinese Medicine System in the case of Cai's gynecology. I. J. Functional Informatics and Personalised Medicine 1(4): 419-438 (2008) | |
| 31 | Jack Y. Yang, Mary Qu Yang: Identification of Intrinsically Unstructured Proteins using hierarchical classifier. IJDMB 2(2): 121-133 (2008) | |
| 30 | Yuehui Chen, Feng Chen, Jack Y. Yang, Mary Qu Yang: Ensemble Voting System for Multiclass protein fold Recognition. IJPRAI 22(4): 747-763 (2008) | |
| 2007 | ||
| 29 | Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume I, June 25-28, 2007, Las Vegas Nevada, USA CSREA Press 2007 | |
| 28 | Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2007, Volume II, June 25-28, 2007, Las Vegas Nevada, USA CSREA Press 2007 | |
| 27 | Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume I, June 25-28, 2007, Las Vegas, Nevada, USA CSREA Press 2007 | |
| 26 | Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang: Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007, Volume II, June 25-28, 2007, Las Vegas, Nevada, USA CSREA Press 2007 | |
| 25 | Hamid R. Arabnia, Jack Y. Yang, Mary Qu Yang: Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods, GEM 2007, June 25-28, 2007, Las Vegas, Nevada, USA CSREA Press 2007 | |
| 24 | Hamid R. Arabnia, Matthias Dehmer, Frank Emmert-Streib, Mary Qu Yang: Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA CSREA Press 2007 | |
| 23 | Hamid R. Arabnia, Jack Y. Yang, Mary Qu Yang: Proceedings of the 2007 International Conference on Scientific Computing, CSC 2007, June 25-28, 2007, Las Vegas, Nevada, USA CSREA Press 2007 | |
| 22 | Guo-Zheng Li, Xue-Qiang Zeng, Jack Y. Yang, Mary Qu Yang: Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification. BIBE 2007: 1439-1444 | |
| 21 | Mary Qu Yang, Laura Elnitski: An Overview of Bidirectional Promoters. BIBE 2007: 1447 | |
| 20 | Mehdi Pirooznia, Arun Rawat, Jack Y. Yang, Mary Qu Yang, Ping Gong, Edward J. Perkins, Youping Deng: An Effective Interwoven Loop Design Application for Two-Channel Microarray Experiments. BIBE 2007: 187-191 | |
| 19 | Mary Qu Yang, Laura Elnitski: Promoter studies in the human genome: one perspective on an unfinished story. BIBE 2007: 4-6 | |
| 18 | Jack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Youping Deng: Non-Monotonic Radio-Sensitivity over Tumor Volumes on Adjuvant Radio Therapy A New Insight on Cell Killing and Modeling. BIBE 2007: 524-531 | |
| 17 | Yuehui Chen, Xueqin Zhang, Mary Qu Yang, Jack Y. Yang: Ensemble of Probabilistic Neural Networks for Protein Fold Recognition. BIBE 2007: 66-70 | |
| 16 | Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang: Support Vector Regression with Feature Selection for the Multivariate Calibration of Spectrofluorimetric Determination of Aromatic Amino Acids. BIBE 2007: 842-848 | |
| 15 | Mary Qu Yang, Jack Y. Yang: An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning. BIBE 2007: 9-10 | |
| 14 | Hua-Long Bu, Guo-Zheng Li, Xue-Qiang Zeng, Jack Y. Yang, Mary Qu Yang: Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification. BIBE 2007: 967-973 | |
| 13 | Mary Qu Yang, Laura Elnitski: Orthology and Multiple Class Prediction of Functional Elements in the Human Genome. BIOCOMP 2007: 218-228 | |
| 12 | Jack Y. Yang, Mary Qu Yang: 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. BIOCOMP 2007: 282-288 | |
| 11 | Jack Y. Yang, Guo-Zheng Li, Li-Xin Liu, Mary Qu Yang: Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning. BIOCOMP 2007: 515-522 | |
| 10 | Jack Y. Yang, Andrzej Niemierko, Mary Qu Yang, Zuojie Luo, Jianling Li: Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches. CIBCB 2007: 46-53 | |
| 9 | Guo-Zheng Li, Dan Li, Wen-Cong Lu, Jack Y. Yang, Mary Qu Yang: Feature Selection for Co-Training: A QSAR Study. IC-AI 2007: 138-146 | |
| 8 | Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. Yang: Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules. IMSCCS 2007: 108-114 | |
| 7 | Mary Qu Yang, James Taylor, Laura Elnitski: Rigorous Mapping of Orthologous Bidirectional Promoters in Vertebrates Defines their Evolutionary History. IMSCCS 2007: 115-122 | |
| 6 | Mary Qu Yang, Laura Elnitski: Invited Talk: A Computational Study of Bidirectional Promoters in the Human Genome. ISBRA 2007: 361-371 | |
| 2006 | ||
| 5 | Mary Qu Yang, Jack Y. Yang: IUP: Intrinsically Unstructured Protein predictor - A software tool for analyzing polypeptide sequences. BIBE 2006: 3-11 | |
| 4 | Jack Y. Yang, Mary Qu Yang: Assessing protein function using a combination of supervised and unsupervised learning. BIBE 2006: 35-44 | |
| 3 | Mary Qu Yang, Jack Y. Yang: Identification of Intrinsically Unstructured Regions in Proteins Using Primary Structure. BIOCOMP 2006: 303-309 | |
| 2 | Jack Y. Yang, Mary Qu Yang: Learning from Sequences with Determining Correlation between Transmembrane and Protein Disorder. BIOCOMP 2006: 345-351 | |
| 2003 | ||
| 1 | Jack Y. Yang, Mary Qu Yang, Okan K. Ersoy: Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques. ICANN 2003: 1073-1080 | |