Runxuan Zhang

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis

P. Saratchandran, N. Sundararajan, Runxuan Zhang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category classification

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

A powerful and flexible tool for rapid and accurate differential expression and alternative splicing analysis of RNA-seq data for biologists

Iain Milne, Gordon Stephen, Wenbin Guo, 2019, bioRxiv.

Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size

Ping Lin, Wenbin Guo, John W. S. Brown, 2017, BMC Systems Biology.

TSIS: an R package to infer alternative splicing isoform switches for time-series data

Wenbin Guo, John W. S. Brown, Runxuan Zhang, 2017, Bioinform..

Evaluation for computational platforms of LC-MS based label-free quantitative proteomics: A global view

Jeffrey T.-J. Huang, Daniel Crowther, Runxuan Zhang, 2010 .

Improved GAP-RBF network for classification problems

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, Neurocomputing.

Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis

Paramasivan Saratchandran, N. Sundararajan, Guang-Bin Huang, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.