BioHPC/megaR: An interactive R package for Metagenomic Data Analysis for Disease Prediction

megaR takes Metaphlan or QIIME input and preprocess the data according to user descripted critea feature(genus or species) and threshold value. User can select from among the three models to build the predictive models and check the training and testing accuracy of the model. Built models can also be validated and used for predicting unknown samples.

Getting started

Package details

AuthorEliza Dhungel
Maintainer[email protected]
License
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("BioHPC/megaR")
BioHPC/megaR documentation built on May 14, 2019, 12:51 a.m.