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.
|Bioconductor views||DimensionReduction GraphAndNetwork Microbiome MicrobiomeData SystemsBiology TimeCourse|
|Maintainer||Jakob Peder Pettersen <firstname.lastname@example.org>|
|License||GPL-3 | file LICENSE|
|Package repository||View on GitHub|
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