SBC: A new strategy for multiclass lung cancer classification based on tumour structural information and microarray data

Azzawi, Hasseeb, Hou, Jingyu, Alnnni, Russul and Xiang, Yong 2018, SBC: A new strategy for multiclass lung cancer classification based on tumour structural information and microarray data, in ICIS 2018 : Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/ICIS.2018.8466448.

Attached Files
Name Description MIMEType Size Downloads

Title SBC: A new strategy for multiclass lung cancer classification based on tumour structural information and microarray data
Author(s) Azzawi, HasseebORCID iD for Azzawi, Hasseeb orcid.org/0000-0002-9849-3565
Hou, JingyuORCID iD for Hou, Jingyu orcid.org/0000-0002-6403-9786
Alnnni, RussulORCID iD for Alnnni, Russul orcid.org/0000-0003-3545-7863
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Conference name International Association for Computer and Information Science. Conference (17th : 2018 : Singapore)
Conference location Singapore
Conference dates 2018/06/06 - 2018/06/08
Title of proceedings ICIS 2018 : Proceedings of the 17th IEEE/ACIS International Conference on Computer and Information Science
Editor(s) Lee, Roger
Publication date 2018
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Multiclass classification
lung cancer diagnosis
gene expression analysis
gene expression programming
ISBN 9781538658925
Language eng
DOI 10.1109/ICIS.2018.8466448
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109661

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 59 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 04 Apr 2019, 09:22:38 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.