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