LDA (Latent Dirichlet Analysis) Analysis of Communities

Authors

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

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.

Links

Github Repository: https://github.com/Biancabrown/LDA_binder_2

Open Notebook (Binder):