/EnGRNT

This code is related to our recently proposed method called EnGRNT. EnGRNT is a supervised learning method that uses the gene expression data and topological features extracted from GRN to train ensemble classifiers and ultimately improves the GRN structure.

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EnGRNT

This code is related to our recently proposed method called EnGRNT. EnGRNT is a supervised learning method that uses the gene expression data and topological features extracted from GRN to train ensemble classifiers and ultimately improves the GRN structure.

Requirement:

This program is suitable for R Version 1.1.453 and above versions. The program has adopted by on simulated data and stable state of Escherichia coli (E. coli) . By some little change it can be used for any input data.

The details of the used dataset can be accessible in the below paper:

Gillani, Z., Akash, M. S. H., Rahaman, M. M., & Chen, M. (mchen@zju.edu.cn) (2014). CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks. BMC bioinformatics, 15(1), 395.

Feedback:

Please do not hesitate to contact us if there is anything we may be able to help you with: Hakimeh Khojasteh, khojasteh.hb@gmail.com