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. 2015 Mar;12(3):233-5, 3 p following 235.
doi: 10.1038/nmeth.3254. Epub 2015 Jan 26.

Inferring biological tasks using Pareto analysis of high-dimensional data

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Inferring biological tasks using Pareto analysis of high-dimensional data

Yuval Hart et al. Nat Methods. 2015 Mar.

Abstract

We present the Pareto task inference method (ParTI; http://www.weizmann.ac.il/mcb/UriAlon/download/ParTI) for inferring biological tasks from high-dimensional biological data. Data are described as a polytope, and features maximally enriched closest to the vertices (or archetypes) allow identification of the tasks the vertices represent. We demonstrate that human breast tumors and mouse tissues are well described by tetrahedrons in gene expression space, with specific tumor types and biological functions enriched at each of the vertices, suggesting four key tasks.

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