Network Modeling of Complex Data Sets.

Methods in molecular biology (Clifton, N.J.)(2020)

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摘要
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.
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关键词
Differential analysis,Enrichment,FCROS,Fisher exact test,Machine learning,Random forests,Similarity network
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