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http://hdl.handle.net/123456789/20843
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| Title: | Early detection of cancer by regression analysis and computer simulation of gene regulatory rules |
| Authors: | Danh, Cong Nguyen
Azadivar, Farhad |
| E-mail: | 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
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| 2C2.pdf | Access is limited to UniMAP community | 929.81 kB | Adobe PDF | View/Open |
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