DSpace
 

iRepository at Perpustakaan UniMAP >
The Library >
Conference Papers >

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/20843

Title: Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
Authors: Danh, Cong Nguyen
Azadivar, Farhad
???metadata.dc.contributor.url???: congdanh_71@yahoo.com
fazadivar@umassd.edu
Keywords: Cancer;Computer simulation;Genetic regulatory network;Microarray data;Probabilistic Boolean Networks (PBN)
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 144-148
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: Cellular signaling and dynamic interaction among genes result in stable phenotype structures such as tumor or non tumor cells. Tumor and non-tumor cellular cells often contain some identical cancer causing genes but due to differences in their regulatory networks they evolve differently. As a result, if such regulatory networks are discovered one could predict whether a cell containing particular cancer genes will in fact end up to become a cancerous cell. This paper utilizes a mathematical approach to determine such regulatory rules for a set of cells containing cancer causing genes and uses computer simulation to predict whether in a long run a particular cell will evolve into a cancerous cell. The proposed process utilizes Probabilistic Boolean Networks (PBN) on two gene regulatory networks; one for tumor and one for non-tumor producing structures. The process uses a regression analysis to identify the regulatory networks and a computer simulation model to predict long term cancer potential.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6178972
http://hdl.handle.net/123456789/20843
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
2C2.pdfAccess is limited to UniMAP community929.81 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Perpustakaan Tuanku syed Faizuddin Putra, Kampus Pauh Putra, Universiti Malaysia Perlis, 02600, Arau Perlis
TEL: +604-9885420 | FAX: +604-9885405 | EMAIL: rujukan@unimap.edu.my Feedback