Biological network mapping and source signal deduction | Zendy

Mark P. Brynildsen | Zendy; TungYun Wu | Zendy; ShiShang Jang | Zendy; James C. Liao | Zendy

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Biological network mapping and source signal deduction

Author(s) -

Mark P. Brynildsen,

TungYun Wu,

ShiShang Jang,

James C. Liao

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/btm246

Subject(s) - bipartite graph , computer science , gene regulatory network , biological network , data mining , network architecture , saccharomyces cerevisiae , computational biology , theoretical computer science , gene , biology , gene expression , computer network , genetics , graph

Many biological networks, including transcriptional regulation, metabolism, and the absorbance spectra of metabolite mixtures, can be represented in a bipartite fashion. Key to understanding these bipartite networks are the network architecture and governing source signals. Such information is often implicitly imbedded in the data. Here we develop a technique, network component mapping (NCM), to deduce bipartite network connectivity and regulatory signals from data without any need for prior information.

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