DocumentCode :
1400165
Title :
Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach
Author :
Yoon, Byung-Jun ; Qian, Xiaoning ; Sahraeian, Sayed Mohammad Ebrahim
Volume :
29
Issue :
1
fYear :
2012
Firstpage :
22
Lastpage :
34
Abstract :
This study reviewed the application of Markov models to various comparative network analysis problems which provides a powerful means of gaining novel system-level understanding of diverse biological mechanisms within cells and the variegated functional roles of various cellular constituents and help to take advantage on the available biological data and knowledge encoded in the biological networks.
Keywords :
biology computing; cellular biophysics; hidden Markov models; molecular biophysics; Markov chain-based approach; biological networks; cells; comparative network analysis; diverse biological mechanisms; hidden Markov model; system-level understanding; Biological cells; Cells (biology); DNA; Genetics; Genomics; Molecular biophysics; Proteomics; RNA;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2011.942819
Filename :
6105464
Link To Document :
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