What is it about?

This methodology uses basic machine learning and statistics to formula networks that represent microbiome data. The method also proposes steps to filter edges, which are weighted to describe biologically the interaction of the species in the microbiome. These networks can be used for further downstream analysis to investigate ecosystems under different conditions of infection and vaccination.

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This page is a summary of: Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data, September 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3584371.3612969.
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