Files in this item
Mining human prostate cancer datasets : the “camcAPP” shiny app
Item metadata
dc.contributor.author | Dunning, Mark J. | |
dc.contributor.author | Vowler, Sarah L. | |
dc.contributor.author | Lalonde, Emilie | |
dc.contributor.author | Ross-Adams, Helen | |
dc.contributor.author | Boutros, Paul | |
dc.contributor.author | Mills, Ian G. | |
dc.contributor.author | Lynch, Andy G. | |
dc.contributor.author | Lamb, Alastair D. | |
dc.date.accessioned | 2017-08-15T11:30:47Z | |
dc.date.available | 2017-08-15T11:30:47Z | |
dc.date.issued | 2017-03 | |
dc.identifier | 250826525 | |
dc.identifier | 68bf2e79-394a-4f4e-a542-5b9a5ae95844 | |
dc.identifier | 85014786177 | |
dc.identifier.citation | Dunning , M J , Vowler , S L , Lalonde , E , Ross-Adams , H , Boutros , P , Mills , I G , Lynch , A G & Lamb , A D 2017 , ' Mining human prostate cancer datasets : the “camcAPP” shiny app ' , EBioMedicine , vol. 17 , pp. 5-6 . https://doi.org/10.1016/j.ebiom.2017.02.022 | en |
dc.identifier.issn | 2352-3964 | |
dc.identifier.other | ORCID: /0000-0002-7876-7338/work/36106401 | |
dc.identifier.uri | https://hdl.handle.net/10023/11472 | |
dc.description | Funding: Core CRUK funding: MD, AGL, ADL. Academy of Medical Sciences Clinical Lecturer Starter Grant SGCL11 (prinicipal funder of this work): ADL. | en |
dc.format.extent | 2 | |
dc.format.extent | 159371 | |
dc.language.iso | eng | |
dc.relation.ispartof | EBioMedicine | en |
dc.subject | Big data | en |
dc.subject | Gene signature | en |
dc.subject | Online interface | en |
dc.subject | Prognostication | en |
dc.subject | Prostate cancer | en |
dc.subject | RC0254 Neoplasms. Tumors. Oncology (including Cancer) | en |
dc.subject | ZA4050 Electronic information resources | en |
dc.subject | QA76 Computer software | en |
dc.subject | Medicine(all) | en |
dc.subject | Biochemistry, Genetics and Molecular Biology(all) | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject.lcc | RC0254 | en |
dc.subject.lcc | ZA4050 | en |
dc.subject.lcc | QA76 | en |
dc.title | Mining human prostate cancer datasets : the “camcAPP” shiny app | en |
dc.type | Journal item | en |
dc.contributor.institution | University of St Andrews. School of Medicine | en |
dc.contributor.institution | University of St Andrews. Statistics | en |
dc.contributor.institution | University of St Andrews. Cellular Medicine Division | en |
dc.identifier.doi | 10.1016/j.ebiom.2017.02.022 | |
dc.description.status | Peer reviewed | en |
dc.identifier.url | http://bioinformatics.cruk.cam.ac.uk/apps/camcAPP/ | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.