Hong-Qiang Wang

发表

CorSig: A General Framework for Estimating Statistical Significance of Correlation and Its Application to Gene Co-Expression Analysis

Hong-Qiang Wang, Chung-Jui Tsai, 2013, PloS one.

A gene selection algorithm based on the gene regulation probability using maximal likelihood estimation

De-Shuang Huang, Hong-Qiang Wang, De-shuang Huang, 2005, Biotechnology Letters.

Globally learning gene regulatory networks based on hidden atomic regulators from transcriptomic big data

Hong-Qiang Wang, Ao Li, Sheng Tan, 2020, BMC Genomics.

Gene expression Graph-based consensus clustering for class discovery from gene expression data

Hong-Qiang Wang, Zhiwen Yu, H. Wong, 2007 .

Stress-responsive hydroxycinnamate glycosyltransferase modulates phenylpropanoid metabolism in Populus

Hong-Qiang Wang, Chung-Jui Tsai, S. Harding, 2014, Journal of experimental botany.

CONTINUOUS WAVELET ANALYSIS OF GENE EXPRESSION SIGNALS FOR CANCER CLASSIFICATION

Hong-Qiang Wang, Xiucai Ding, Xin-Ping Xie, 2009 .

DynSig: Modelling Dynamic Signaling Alterations along Gene Pathways for Identifying Differential Pathways

Yanwen Chong, Hong-Qiang Wang, Weiming Shen, 2018, Genes.

A gene link-based method for identifying differential gene pathways

Hong-Qiang Wang, Zirui Zhang, Ke Chen, 2014, 2014 8th International Conference on Systems Biology (ISB).

Mining gene link information for survival pathway hunting.

Hong-Qiang Wang, Zirui Zhang, Gao-Jian Jing, 2015, IET systems biology.

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation

Jun Zhang, Chun-Hou Zheng, Bin Gan, 2014, BioMed research international.

Tumor Classification Based on Non-Negative Matrix Factorization Using Gene Expression Data

Lei Zhang, Chun-Hou Zheng, To-Yee Ng, 2011, IEEE Transactions on NanoBioscience.

ctPath: Demixing pathway crosstalk effect from transcriptomics data for differential pathway identification

Hong-Qiang Wang, Xin-Ping Xie, Bin Gan, 2017, J. Biomed. Informatics.

Link-based identification of survival time-related biological pathways

Hong-Qiang Wang, Gao-Jian Jing, Zirui Zhang, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A survey of pattern classification-based methods for predicting survival time of lung cancer patients

Hong-Qiang Wang, Chun-Hou Zheng, Bin Gan, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Graph-based consensus clustering for class discovery from gene expression data

Zhiwen Yu, Hau-San Wong, Hong-Qiang Wang, 2007, Bioinform..

Simulated Annealing Based Algorithm for Identifying Mutated Driver Pathways in Cancer

Hong-Qiang Wang, Chun-Hou Zheng, C. Zheng, 2014, BioMed research international.

Matrix Metalloproteinase 11 Is a Potential Therapeutic Target in Lung Adenocarcinoma

Hong-Qiang Wang, Haiming Dai, Wulin Yang, 2019, Molecular therapy oncolytics.

Adaptively capturing the heterogeneity of expression for cancer biomarker identification

Hong-Qiang Wang, Yu-Feng Xie, Xin-Ping Xie, 2018, BMC Bioinformatics.

Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach.

Ming Shi, Weiming Shen, Hong-Qiang Wang, 2016, IET systems biology.

SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures

Hong-Qiang Wang, Lindsey K. Tuominen, Chung-Jui Tsai, 2011, Bioinform..

A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification

Hong-Qiang Wang, Xin-Ping Xie, Yu-Feng Xie, 2017, BMC Bioinformatics.

An Immune-Associated Genomic Signature Effectively Predicts Pathologic Complete Response to Neoadjuvant Paclitaxel and Anthracycline-Based Chemotherapy in Breast Cancer

Hong-Qiang Wang, Haiming Dai, Wulin Yang, 2021, Frontiers in Immunology.

jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data

Xing-Ming Zhao, Hong-Qiang Wang, Chun-Hou Zheng, 2015, Bioinform..

Biology-constrained gene expression discretization for cancer classification

Hong-Qiang Wang, Chun-Hou Zheng, Gao-Jian Jing, 2014, Neurocomputing.

A New Method for Identifying Cancer-Related Gene Association Patterns

Ding Li, Hong-Qiang Wang, Xin-Ping Xie, 2011, ICIC.

Gene selection using independent variable group analysis for tumor classification

Yanwen Chong, Hong-Qiang Wang, Chun-Hou Zheng, 2011, Neural Computing and Applications.

Constructing the gene regulation-level representation of microarray data for cancer classification

Hau-San Wong, Hong-Qiang Wang, Hong-Qiang Wang, 2008, J. Biomed. Informatics.

Extracting gene regulation information for cancer classification

Hau-San Wong, De-Shuang Huang, Hong-Qiang Wang, 2007, Pattern Recognit..

Method of regulatory network that can explore protein regulations for disease classification

Hailong Zhu, Hong-Qiang Wang, Timothy T. C. Yip, 2009, Artificial Intelligence in Medicine.

Exploring Protein Regulations with Regulatory Networks for Cancer Classification

Hailong Zhu, Hong-Qiang Wang, Timothy T. C. Yip, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

Pan-cancer analysis reveals the associations between MMP13 high expression and carcinogenesis and its value as a serum diagnostic marker

Hong-Qiang Wang, Wulin Yang, Hongzhi Wang, 2023, Aging.

Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS

Hailong Zhu, Hong-Qiang Wang, Chun-Hou Zheng, 2009, J. Circuits Syst. Comput..

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks

Hau-San Wong, De-Shuang Huang, Bing Wang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification

Hong-Qiang Wang, Yu-Feng Xie, Xin-Ping Xie, 2017, BMC Bioinformatics.

Regulation probability method for gene selection

De-Shuang Huang, Hong-Qiang Wang, De-shuang Huang, 2006, Pattern Recognit. Lett..

Non-linear cancer classification using a modified radial basis function classification algorithm.

De-Shuang Huang, Hong-Qiang Wang, De-shuang Huang, 2005, Journal of biomedical science.

A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis

Hong-Qiang Wang, Chun-Hou Zheng, Xin-Ping Xie, 2011, ICIC.

Improving GRN re‐construction by mining hidden regulatory signals

Ming Shi, Weiming Shen, Hong-Qiang Wang, 2017, IET systems biology.

A neural network-based biomarker association information extraction approach for cancer classification

Hau-San Wong, Hailong Zhu, Hong-Qiang Wang, 2009, J. Biomed. Informatics.

Extracting local information for identifying differentially expressed pathways

Zengfu Wang, Hong-Qiang Wang, Chun-Hou Zheng, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Locally Linear Discriminant Embedding for Tumor Classification

Lei Zhang, Hong-Qiang Wang, Chun-Hou Zheng, 2008, ICIC.

Protein-Protein Interaction Affinity Prediction Based on Interface Descriptors and Machine Learning

Min Zhu, Shulin Wang, Hong-Qiang Wang, 2012, ICIC.

A prediction model for prognosis of gastric adenocarcinoma based on six metabolism-related genes

Hong-Qiang Wang, Haiming Dai, Wulin Yang, 2023, Biochemistry and biophysics reports.

A novel and efficient method for differential pathway identification

Rui Li, Hong-Qiang Wang, Hong-Qiang Wang, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach.

Yanwen Chong, Hong-Qiang Wang, Weiming Shen, 2016, IET systems biology.