Linked Life Data

14992528

Source:http://linkedlifedata.com/resource/pubmed/id/14992528

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-3-2
pubmed:abstractText
Deciphering the mechanisms that control gene expression in the cell is a fundamental question in molecular biology. This task is complicated by the large number of possible regulation relations in the cell, and the relatively small amount of available experimental data. Recently, a new class of regulation functions called chain functions was suggested. Many signal transduction pathways can be accurately modeled by chain functions, and the restriction to chain functions greatly reduces the vast search space of regulation relations. In this paper we study the computational problem of reconstructing a chain function using a minimum number of experiments, in each of which only few genes are perturbed. We give optimal reconstruction schemes for several scenarios and show their application in reconstructing the regulation of galactose utilization in yeast.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1793-5091
pubmed:author
pubmed:issnType
Print
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
498-509
pubmed:dateRevised
2007-9-12
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Reconstructing chain functions in genetic networks.
pubmed:affiliation
School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel. iritg@tau.ac.il
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't