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NIHBA : A network interdiction approach for metabolic engineering design

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dc.contributor.authorJiang, Shouyong
dc.contributor.authorWang, Yong
dc.contributor.authorKaiser, Marcus
dc.contributor.authorKrasnogor, Natalio
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.date.accessioned2022-02-22T14:43:01Z
dc.date.available2022-02-22T14:43:01Z
dc.date.issued2020-06-01
dc.descriptionFunding Information: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) for funding project ‘Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies (EP/N031962/1)’. N.K. was funded by a Royal Academy of Engineering Chair in Emerging Technology award.en
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent1235608
dc.identifier208738535
dc.identifier60518b92-4682-4b57-812a-ccb05d438050
dc.identifier85085904304
dc.identifier32167529
dc.identifier.citationJiang, S, Wang, Y, Kaiser, M & Krasnogor, N 2020, 'NIHBA : A network interdiction approach for metabolic engineering design', Bioinformatics, vol. 36, no. 11, pp. 3482-3492. https://doi.org/10.1093/bioinformatics/btaa163en
dc.identifier.doi10.1093/bioinformatics/btaa163
dc.identifier.iss11en
dc.identifier.issn1367-4803
dc.identifier.urihttps://hdl.handle.net/2164/18119
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85085904304&partnerID=8YFLogxKen
dc.identifier.vol36en
dc.language.isoeng
dc.relation.ispartofBioinformaticsen
dc.subjectR Medicineen
dc.subjectStatistics and Probabilityen
dc.subjectBiochemistryen
dc.subjectMolecular Biologyen
dc.subjectComputer Science Applicationsen
dc.subjectComputational Theory and Mathematicsen
dc.subjectComputational Mathematicsen
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titleNIHBA : A network interdiction approach for metabolic engineering designen
dc.typeJournal articleen

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