Engineering Papers⌕ Search

DOE OSTI · 1820887

Network Modeling of Complex Data Sets

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.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jones, Piet C., Weighill, Deborah, Shah, Manesh, Climer, Sharlee, Schmutz, Jeremy, Sreedasyam, Avinash, Tuskan, Gerald, Jacobson, Daniel. 2020-07-01. Network Modeling of Complex Data Sets. https://doi.org/10.1007/978-1-0716-0195-2_15

Cite the original work for its findings. Save a collection to share your selection of sources.