dc.contributor.author | Sailem, HZ | |
dc.contributor.author | Sero, JE | |
dc.contributor.author | Bakal, C | |
dc.date.accessioned | 2020-08-06T14:50:19Z | |
dc.date.issued | 2015-01-08 | |
dc.identifier.citation | Nature communications, 2015, 6 pp. 5825 - ? | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/3914 | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.doi | 10.1038/ncomms6825 | |
dc.description.abstract | Visualization 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.format | Electronic | |
dc.format.extent | 5825 - ? | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PUBLISHING GROUP | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Cells | |
dc.subject | Cell Line, Tumor | |
dc.subject | Humans | |
dc.subject | Breast Neoplasms | |
dc.subject | Image Processing, Computer-Assisted | |
dc.subject | Software | |
dc.subject | Female | |
dc.title | Visualizing cellular imaging data using PhenoPlot. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2014-11-11 | |
rioxxterms.versionofrecord | 10.1038/ncomms6825 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2015-01-08 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Nature communications | |
pubs.notes | Not 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-status | Published | |
pubs.volume | 6 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Dynamical Cell Systems | |
dc.contributor.icrauthor | Bakal, Christopher | |