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^*

^*Corresponding author for this work

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

Original language	English
Pages (from-to)	5-6
Number of pages	2
Journal	EBioMedicine
Volume	17
Early online date	2 Mar 2017
DOIs	https://doi.org/10.1016/j.ebiom.2017.02.022
Publication status	Published - Mar 2017

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Big data
Gene signature
Online interface
Prognostication
Prostate cancer

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

Lynch_2017_EBM_ProstateCancerDatasets_CC
© 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Final published version, 156 KBLicence: CC BY-NC-ND

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Cite this

@article{68bf2e79394a4f4ea5425b9a5ae95844,

title = "Mining human prostate cancer datasets: the “camcAPP” shiny app",

keywords = "Big data, Gene signature, Online interface, Prognostication, Prostate cancer",

author = "Dunning, \{Mark J.\} and Vowler, \{Sarah L.\} and Emilie Lalonde and Helen Ross-Adams and Paul Boutros and Mills, \{Ian G.\} and Lynch, \{Andy G.\} and Lamb, \{Alastair D.\}",

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

year = "2017",

month = mar,

doi = "10.1016/j.ebiom.2017.02.022",

language = "English",

volume = "17",

pages = "5--6",

journal = "EBioMedicine",

issn = "2352-3964",

publisher = "Elsevier",

}

TY - JOUR

T1 - Mining human prostate cancer datasets

T2 - the “camcAPP” shiny app

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.

N1 - Funding: Core CRUK funding: MD, AGL, ADL. Academy of Medical Sciences Clinical Lecturer Starter Grant SGCL11 (prinicipal funder of this work): ADL.

PY - 2017/3

Y1 - 2017/3

KW - Big data

KW - Gene signature

KW - Online interface

KW - Prognostication

KW - Prostate cancer

UR - http://bioinformatics.cruk.cam.ac.uk/apps/camcAPP/

U2 - 10.1016/j.ebiom.2017.02.022

DO - 10.1016/j.ebiom.2017.02.022

M3 - Article

AN - SCOPUS:85014786177

SN - 2352-3964

VL - 17

SP - 5

EP - 6

JO - EBioMedicine

JF - EBioMedicine

ER -

Mining human prostate cancer datasets: the “camcAPP” shiny app

UN SDGs

Keywords

Access to Document

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