Mining Human Prostate Cancer Datasets: The "camcAPP" Shiny App

Mark J Dunning; Sarah L Vowler; Emilie Lalonde; Helen Ross-Adams; Paul Boutros; Ian G Mills; Andy G Lynch; Alastair D Lamb

doi:10.1016/j.ebiom.2017.02.022

Mining Human Prostate Cancer Datasets: The "camcAPP" Shiny App

Mark J Dunning, Sarah L Vowler, Emilie Lalonde, Helen Ross-Adams, Paul Boutros, Ian G Mills, Andy G Lynch, Alastair D Lamb

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

329 Downloads (Pure)

Original language	English
Journal	EBioMedicine
Early online date	02 Mar 2017
DOIs	https://doi.org/10.1016/j.ebiom.2017.02.022
Publication status	Early online date - 02 Mar 2017
Externally published	Yes

Keywords

Journal Article

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ebiom.2017.02.022Licence: CC BY-NC-ND

Mining Human Prostate Cancer Datasets: The “camcAPP” Shiny App
Copyright 2017 the authors. This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 175 KBLicence: CC BY-NC-ND

Cite this

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AU - Dunning, Mark J

AU - Vowler, Sarah L

AU - Lalonde, Emilie

AU - Ross-Adams, Helen

AU - Boutros, Paul

AU - Mills, Ian G

AU - Lynch, Andy G

AU - Lamb, Alastair D

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