Essential Gene identification in human kidney tissue based on Network Analysis

This repository contains data and code for reproducing all experimental results of paper:

Manzo, M., Giordano, M., Maddalena, L., Guarracino, M.R., Granata, I. (2023). Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis. In: Dzemyda, G., Bernatavičienė, J., Kacprzyk, J. (eds) Data Science in Applications. Studies in Computational Intelligence, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-031-24453-7_7

For latex citation, please use: cite.bib

The code can be run as Jupyter notebooks by clicking on the launching icon ( or ).

A new method following the most of the approaches adopted in this research line is the HELP framework.