dc.contributor.author | Danh, Cong Nguyen | |
dc.contributor.author | Azadivar, Farhad | |
dc.date.accessioned | 2012-09-05T14:15:49Z | |
dc.date.available | 2012-09-05T14:15:49Z | |
dc.date.issued | 2012-02-27 | |
dc.identifier.citation | p. 144-148 | en_US |
dc.identifier.isbn | 978-145771989-9 | |
dc.identifier.uri | http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6178972 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20843 | |
dc.description | Link to publisher's homepage at http://ieeexplore.ieee.org/ | en_US |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) | en_US |
dc.subject | Cancer | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Genetic regulatory network | en_US |
dc.subject | Microarray data | en_US |
dc.subject | Probabilistic Boolean Networks (PBN) | en_US |
dc.title | Early detection of cancer by regression analysis and computer simulation of gene regulatory rules | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | congdanh_71@yahoo.com | en_US |
dc.contributor.url | fazadivar@umassd.edu | en_US |