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dc.contributor.authorSailem, HZ
dc.contributor.authorSero, JE
dc.contributor.authorBakal, C
dc.date.accessioned2020-08-06T14:50:19Z
dc.date.issued2015-01-08
dc.identifier.citationNature communications, 2015, 6 pp. 5825 - ?
dc.identifier.issn2041-1723
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3914
dc.identifier.eissn2041-1723
dc.identifier.doi10.1038/ncomms6825
dc.description.abstractVisualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated by high-content analysis in which complex cellular phenotypes are described as high-dimensional vectors of features. Here we present a visualization tool, PhenoPlot, which represents quantitative high-content imaging data as easily interpretable glyphs, and we illustrate how PhenoPlot can be used to improve the exploration and interpretation of complex breast cancer cell phenotypes.
dc.formatElectronic
dc.format.extent5825 - ?
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectCells
dc.subjectCell Line, Tumor
dc.subjectHumans
dc.subjectBreast Neoplasms
dc.subjectImage Processing, Computer-Assisted
dc.subjectSoftware
dc.subjectFemale
dc.titleVisualizing cellular imaging data using PhenoPlot.
dc.typeJournal Article
dcterms.dateAccepted2014-11-11
rioxxterms.versionofrecord10.1038/ncomms6825
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2015-01-08
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNature communications
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/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
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 Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.publication-statusPublished
pubs.volume6
pubs.embargo.termsNot known
icr.researchteamDynamical Cell Systemsen_US
dc.contributor.icrauthorBakal, Christopheren


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0