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.
Package details |
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Bioconductor views | DimensionReduction GraphAndNetwork Microbiome Software SystemsBiology TimeCourse |
Maintainer | Jakob Peder Pettersen <jakobpeder.pettersen@gmail.com> |
License | GPL-3 |
Version | 0.18.3 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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