AlmaasLab/micInt: Find microbial interactions

This packages utilizes different approaches to find and analyze microbial interactions. The CoNet approach utilzes similarity measures and bootstrapping-permutation methology to find significant correlations between different OTUs in a microbiome data set. The analysis are automized and run in parallel for convenient comparison of different similarity measures and methods. The Lotka-Volterra approach is based on time series and estimates the Lotka-Volterra coefficients.

Getting started

Package details

Bioconductor views DimensionReduction GraphAndNetwork Microbiome MicrobiomeData SystemsBiology TimeCourse
MaintainerJakob Peder Pettersen <jakobpeder.pettersen@gmail.com>
LicenseGPL-3 | file LICENSE
Version0.16.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AlmaasLab/micInt")
AlmaasLab/micInt documentation built on March 11, 2021, 6:46 a.m.