LDA (Latent Dirichlet Analysis) Analysis of Communities¶
GitHub repository: speeding-up-science-workshops/metaT-LDA-analysis/
Summary:¶
Latent Dirichlet Allocation (LDA) is used to help determine relationships and structure in microbial communities. LDA is a Bayesian based method which infers these relationships by grouping sequence data into communities and determining the likelihood of these communities comprising a given sample. The approach can easily be applied to any metagenomic or metatranscriptomic data set which has resulted in a count table of taxonomy or gene functions.
