You are not logged in.
Openly accessible

RRHGE: a novel approach to classify the estrogen receptor based breast cancer subtypes

Saini, Ashish, Hou, Jingyu and Zhou, Wanlei 2014, RRHGE: a novel approach to classify the estrogen receptor based breast cancer subtypes, Scientific world journal, vol. 2014, Article No. 362141, pp. 1-13, doi: 10.1155/2014/362141.

Attached Files
Name Description MIMEType Size Downloads
saini-RRHGE-2014.pdf Published version application/pdf 1.05MB 34

Title RRHGE: a novel approach to classify the estrogen receptor based breast cancer subtypes
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 Scientific world journal
Volume number 2014
Season Article No. 362141
Start page 1
End page 13
Total pages 13
Publisher Hindawi Publishing Corporation
Place of publication New York, N. Y.
Publication date 2014
ISSN 2356-6140
1537-744X
Summary Breast cancer is the most common type of cancer among females with a high mortality rate. It is essential to classify the estrogen receptor based breast cancer subtypes into correct subclasses, so that the right treatments can be applied to lower the mortality rate. Using gene signatures derived from gene interaction networks to classify breast cancers has proven to be more reproducible and can achieve higher classification performance. However, the interactions in the gene interaction network usually contain many false-positive interactions that do not have any biological meanings. Therefore, it is a challenge to incorporate the reliability assessment of interactions when deriving gene signatures from gene interaction networks. How to effectively extract gene signatures from available resources is critical to the success of cancer classification.
Language eng
DOI 10.1155/2014/362141
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:30067767

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

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.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 232 Abstract Views, 35 File Downloads  -  Detailed Statistics
Created: Tue, 25 Nov 2014, 22:42:39 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.