Mining Human Prostate Cancer Datasets: The “camcAPP” Shiny App

Mining Human Prostate Cancer Datasets: The “camcAPP” Shiny App

Published version

Peer-reviewed

Repository URI

https://www.repository.cam.ac.uk/handle/1810/264170

Repository DOI

https://doi.org/10.17863/CAM.9528

Files

Published version (155.55 KB)

Type

Authors

Keywords

big data, gene signature, online interface, prognostication, prostate cancer

Journal Title

EBioMedicine

Journal ISSN

2352-3964
2352-3964

Volume Title

17

Publisher

Elsevier

Publisher DOI

https://doi.org/10.1016/j.ebiom.2017.02.022

Rights and licensing

Attribution-NonCommercial-NoDerivatives 4.0 International

Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International

Sponsorship

Cancer Research UK (CB4160)
Cancer Research UK (C14303/A17197)
Cancer Research UK (20406)

Core CRUK funding: MD, AGL, ADL. Academy of Medical Sciences Clinical Lecturer Starter Grant SGCL11 (prinicipal funder of this work): ADL.

Collections

Scholarly Works - Cancer Research UK Cambridge Institute
Symplectic mapped items for data match