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Breast cancer prognosis risk estimation using integrated gene expression and clinical data

Saini, Ashish, Hou, Jingyu and Zhou, Wanlei 2014, Breast cancer prognosis risk estimation using integrated gene expression and clinical data, BioMed research international, vol. 2014, Article ID 459203, pp. 1-15, doi: 10.1155/2014/459203.

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Title Breast cancer prognosis risk estimation using integrated gene expression and clinical data
Author(s) Saini, Ashish
Hou, JingyuORCID iD for Hou, Jingyu orcid.org/0000-0002-6403-9786
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Journal name BioMed research international
Volume number 2014
Season Article ID 459203
Start page 1
End page 15
Total pages 15
Publisher Hindawi Publishing Corporation
Place of publication New York, N. Y.
Publication date 2014
ISSN 2314-6133
2314-6141
Summary Novel prognostic markers are needed so newly diagnosed breast cancer patients do not undergo any unnecessary therapy. Various microarray gene expression datasets based studies have generated gene signatures to predict the prognosis outcomes, while ignoring the large amount of information contained in established clinical markers. Nevertheless, small sample sizes in individual microarray datasets remain a bottleneck in generating robust gene signatures that show limited predictive power. The aim of this study is to achieve high classification accuracy for the good prognosis group and then achieve high classification accuracy for the poor prognosis group.
Language eng
DOI 10.1155/2014/459203
Field of Research 080109 Pattern Recognition and Data Mining
080299 Computation Theory and Mathematics not elsewhere classified
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2014, Hindawi Publishing Corporation
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067766

Document type: Journal Article
Collections: School of Information Technology
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Created: Tue, 25 Nov 2014, 22:36:21 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.