SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments | Zendy

Oved Ourfali | Zendy; Tomer Shlomi | Zendy; Trey Ideker | Zendy; Eytan Ruppin | Zendy; Roded Sharan | Zendy

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SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments

Author(s) -

Oved Ourfali,

Tomer Shlomi,

Trey Ideker,

Eytan Ruppin,

Roded Sharan

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm170

Subject(s) - subnetwork , inference , gene regulatory network , computational biology , biology , gene , gene knockout , systems biology , biological pathway , regulation of gene expression , biological network , computer science , genetics , gene expression , artificial intelligence , computer security

The complex program of gene expression allows the cell to cope with changing genetic, developmental and environmental conditions. The accumulating large-scale measurements of gene knockout effects and molecular interactions allow us to begin to uncover regulatory and signaling pathways within the cell that connect causal to affected genes on a network of physical interactions.

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