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Latent Dirichlet Allocation

DOI

A repo intended to run LDA (Latent Dirichlet Allocation) in a notebook on MyBinder.org.

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.

Authors:

Anand Roopsind, Stephanie F. Hudon and Bianca R.P. Brown

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