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dc.contributor.authorRyan, CJ
dc.contributor.authorLord, CJ
dc.contributor.authorAshworth, A
dc.date.accessioned2016-09-13T13:16:55Z
dc.date.issued2014-09
dc.identifier.citationCancer cell, 2014, 26 (3), pp. 306 - 308
dc.identifier.issn1535-6108
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/104
dc.identifier.eissn1878-3686
dc.identifier.doi10.1016/j.ccr.2014.08.008
dc.description.abstractA better understanding of genetic interactions in cancer might help identify new therapeutic approaches that exploit the concept of synthetic lethality. Ruppin and colleagues have developed a new computational method, DAISY, that predicts such interactions and potentially facilitates the delineation and validation of comprehensive genetic interaction networks.
dc.formatPrint
dc.format.extent306 - 308
dc.languageeng
dc.language.isoeng
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectComputational Biology
dc.subjectData Mining
dc.titleDAISY: picking synthetic lethals from cancer genomes.
dc.typeJournal Article
rioxxterms.funderThe Institute of Cancer Research
rioxxterms.identifier.projectUnspecified
rioxxterms.versionofrecord10.1016/j.ccr.2014.08.008
rioxxterms.licenseref.startdate2014-09
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCancer cell
pubs.issue3
pubs.notesNot known
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/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Gene Function
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Gene Function
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/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Gene Function
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Gene Function
pubs.publication-statusPublished
pubs.volume26
pubs.embargo.termsNot known
icr.researchteamGene Functionen_US
dc.contributor.icrauthorLord, Christopheren


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