Network Modeling of Complex Data Sets

Piet Jones, Deborah Weighill, Manesh B Shah, Sharlee Climer, Jeremy Schmutz, Avinash Sreedasyam, Gerald A. Tuskan, Daniel Jacobson

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageAmerican English
JournalMetabolic Pathway Engineering
DOIs
StatePublished - 2020

Keywords

  • Differential analysis
  • Enrichment
  • FCROS
  • Fisher exact test
  • Machine learning
  • Random forests
  • Similarity network

Disciplines

  • Molecular Biology

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