期刊
NATURE METHODS
卷 12, 期 3, 页码 233-+出版社
NATURE PORTFOLIO
DOI: 10.1038/NMETH.3254
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资金
- Human Frontier Science Program [RGP0020/2012]
- European Research Council [249919]
- Rising Tide Cancer Research Fund [721176]
- Swiss National Science Foundation [PBBSP3_14961]
- EMBO [ALTF 1160-2012]
- European Research Council (ERC) [249919] Funding Source: European Research Council (ERC)
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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