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Early detection of cancer by regression analysis and computer simulation of gene regulatory rules

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Bibliographic Details
Main Authors: Danh, Cong Nguyen, Azadivar, Farhad
Other Authors: congdanh_71@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Cancer
Computer simulation
Genetic regulatory network
Microarray data
Probabilistic Boolean Networks (PBN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20843
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id my.unimap-20843
record_format dspace
spelling my.unimap-208432012-09-05T14:15:49Z Early detection of cancer by regression analysis and computer simulation of gene regulatory rules Danh, Cong Nguyen Azadivar, Farhad congdanh_71@yahoo.com fazadivar@umassd.edu Cancer Computer simulation Genetic regulatory network Microarray data Probabilistic Boolean Networks (PBN) Link to publisher's homepage at http://ieeexplore.ieee.org/ 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. 2012-09-05T14:15:49Z 2012-09-05T14:15:49Z 2012-02-27 Working Paper p. 144-148 978-145771989-9 http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6178972 http://hdl.handle.net/123456789/20843 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Cancer
Computer simulation
Genetic regulatory network
Microarray data
Probabilistic Boolean Networks (PBN)
spellingShingle Cancer
Computer simulation
Genetic regulatory network
Microarray data
Probabilistic Boolean Networks (PBN)
Danh, Cong Nguyen
Azadivar, Farhad
Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 congdanh_71@yahoo.com
author_facet congdanh_71@yahoo.com
Danh, Cong Nguyen
Azadivar, Farhad
format Working Paper
author Danh, Cong Nguyen
Azadivar, Farhad
author_sort Danh, Cong Nguyen
title Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
title_short Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
title_full Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
title_fullStr Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
title_full_unstemmed Early detection of cancer by regression analysis and computer simulation of gene regulatory rules
title_sort early detection of cancer by regression analysis and computer simulation of gene regulatory rules
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20843
_version_ 1643793195702681600
score 13.219503

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