COMPARESVM

Welcome to COMPARESVM

Welcome to HTTPAWelcome to HTTPA TF at a time to train local model, this make the process conceptally simple and computational efficent.

General information

CompareSVM has been implemented in Matlab , we have used LibSVM implementation of SVM since its code is available in MATLAB. The latest version of libsvm can be downloaded from libsvm website. Details are given in documentation

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CompareSVM.zip

CompareSVM Manual

Manual



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Citation

Zeeshan Gillani, Muhamamd Sajid Hamid Akash, MD. Matiur Rahaman, Ming Chen* (2014) CompareSVM: Supervised, Support Vector Machine (SVM) inference of gene regularity networks BMC Bioinformatics, 15:395.

© 2014 Bioinformatics Group, College of Life Sciences, Zhe Jiang University
Email: zgillani@zju.edu.cn, mchen@zju.edu.cn