We demonstrate a selection of network and machine learning techniques useful in the analysis of complex datasets, including 2-way similarity networks, Markov clustering, enrichment statistical networks, FCROS differential analysis, and random forests. We demonstrate each of these techniques on the Populus trichocarpa gene expression atlas.
Keywords: Differential analysis; Enrichment; FCROS; Fisher exact test; Machine learning; Random forests; Similarity network.