NBFPEG -Network Based Features to Predict Essential Genes across organisms.

This repository contains tools to perform undersampling and leave-one-out validation. Please check the directories for individual details and refer the S1.pdf for detailed overview of features.

All relevant data and features are available at DATAHUB link

Citing NBFPEG

If you use NBFPEG features in your work, please cite

Azhagesan K, Ravindran B, Raman K (2018) Network-based features enable prediction of essential genes across diverse organisms. PLoS ONE 13(12): e0208722. https://doi.org/10.1371/journal.pone.0208722 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208722)

Acknowledgements

• High Performance Computing Environment, P G Senapathy Centre for Computing Resources, IIT Madras
• The work was partly supported by a research grantRB/18-19/CSE/002/INTI/BRAV from Intel Technology India Pvt Ltd to B Ravindran
• Initiative for Biological Systems Engineering
• Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI)