insilico/privateEC: Privacy Preserving Evaporative Cooling Feature Selection and Classification with Relief-F and Random Forests
Version 0.99

The privateEC algorithm along with other comparison algorithms used in the Bioinformatics paper referenced below: Trang T. Le, W. K. Simmons, M. Misaki, B.C. White, J. Savitz, J. Bodurka, and B. A. McKinney. “Differential privacy-based Evaporative Cooling feature selection and classification with Relief-F and Random Forests,” Bioinformatics. https://doi.org/10.1093/bioinformatics/btx298. 2017.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.99
URL http:/insilico.utulsa.edu/privateEC
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("insilico/privateEC")
insilico/privateEC documentation built on Aug. 19, 2018, 12:13 p.m.