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Article: Growing enzyme gene networks by integration of gene expression, motif sequence, and metabolic information

TitleGrowing enzyme gene networks by integration of gene expression, motif sequence, and metabolic information
Authors
Geng, BZhou, XHung, YS
KeywordsGene Expression
Gene Networks
Metabolic Reaction
Motif Sequence
Issue Date2009
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pr
Citation
Pattern Recognition, 2009, v. 42 n. 4, p. 557-561 How to Cite?
DOI: http://dx.doi.org/10.1016/j.patcog.2008.09.037
AbstractIn computational biology, gene networks are typically inferred from gene expression data alone. Incorporating multiple types of biological evidences makes it possible to improve gene network estimation. In this paper, we describe an approach for building enzyme gene networks by the integration of gene expression data, motif sequence, and metabolic information. To evaluate the approach, we apply it to a pool of E. coli genes related to aspartate pathway. The results show that integrative approach has potentials of obtaining more accurate gene networks. © 2008 Elsevier Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/155498
ISSN
0031-3203
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.732
ISI Accession Number ID
WOS:000262917700008
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorGeng, Ben_US
dc.contributor.authorZhou, Xen_US
dc.contributor.authorHung, YSen_US
dc.date.accessioned2012-08-08T08:33:47Z-
dc.date.available2012-08-08T08:33:47Z-
dc.date.issued2009en_US
dc.identifier.citationPattern Recognition, 2009, v. 42 n. 4, p. 557-561en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://hdl.handle.net/10722/155498-
dc.description.abstractIn computational biology, gene networks are typically inferred from gene expression data alone. Incorporating multiple types of biological evidences makes it possible to improve gene network estimation. In this paper, we describe an approach for building enzyme gene networks by the integration of gene expression data, motif sequence, and metabolic information. To evaluate the approach, we apply it to a pool of E. coli genes related to aspartate pathway. The results show that integrative approach has potentials of obtaining more accurate gene networks. © 2008 Elsevier Ltd.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/pren_US
dc.relation.ispartofPattern Recognitionen_US
dc.subjectGene Expressionen_US
dc.subjectGene Networksen_US
dc.subjectMetabolic Reactionen_US
dc.subjectMotif Sequenceen_US
dc.titleGrowing enzyme gene networks by integration of gene expression, motif sequence, and metabolic informationen_US
dc.typeArticleen_US
dc.identifier.emailHung, YS:yshung@eee.hku.hken_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.patcog.2008.09.037en_US
dc.identifier.scopuseid_2-s2.0-57149099159en_US
dc.identifier.hkuros163900-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-57149099159&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume42en_US
dc.identifier.issue4en_US
dc.identifier.spage557en_US
dc.identifier.epage561en_US
dc.identifier.isiWOS:000262917700008-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridGeng, B=25641387700en_US
dc.identifier.scopusauthoridZhou, X=8914487400en_US
dc.identifier.scopusauthoridHung, YS=8091656200en_US
dc.identifier.issnl0031-3203-

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