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dc.contributor.authorAl-Lazikani, Ben_US
dc.contributor.authorWorkman, Pen_US
dc.date.accessioned2016-11-28T13:30:53Z
dc.date.issued2016-09en_US
dc.identifier.citationFuture medicinal chemistry, 2016, 8 (14), pp. 1711 - 1716en_US
dc.identifier.issn1756-8919en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/313
dc.identifier.eissn1756-8927en_US
dc.identifier.doi10.4155/fmc-2016-0133en_US
dc.formatPrint-Electronicen_US
dc.format.extent1711 - 1716en_US
dc.languageengen_US
dc.language.isoengen_US
dc.subjectAnimalsen_US
dc.subjectHumansen_US
dc.subjectNeoplasmsen_US
dc.subjectProteinsen_US
dc.subjectProteomicsen_US
dc.subjectProtein Conformationen_US
dc.subjectDatabases, Factualen_US
dc.subjectDrug Discoveryen_US
dc.subjectData Miningen_US
dc.subjectProtein Interaction Mapsen_US
dc.subjectMachine Learningen_US
dc.titleMinimizing bias in target selection by exploiting multidisciplinary Big Data and the protein interactome.en_US
dc.typeJournal Article
dcterms.dateAccepted2016-07-28en_US
rioxxterms.versionofrecord10.4155/fmc-2016-0133en_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0en_US
rioxxterms.licenseref.startdate2016-09en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfFuture medicinal chemistryen_US
pubs.issue14en_US
pubs.notesNo embargoen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics
pubs.publication-statusPublisheden_US
pubs.volume8en_US
pubs.embargo.termsNo embargoen_US
icr.researchteamComputational Biology and Chemogenomicsen_US
dc.contributor.icrauthorAl-Lazikani, Bissanen_US
dc.contributor.icrauthorWorkman, Paulen_US


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