Statistical Methods in Bioinformatics: Markov Chains

Authors

  • Cosmina Ioana BONDOR Dept. of Medical Informatics and Biostatistics, University of Medicine and Pharmacy „Iuliu Haţieganu” Cluj-Napoca
  • Tudor DRUGAN Dept. of Medical Informatics and Biostatistics, University of Medicine and Pharmacy „Iuliu Haţieganu” Cluj-Napoca

Keywords:

Statistics, Markov chain, Bioinformatics.

Abstract

The informatics strategies pervade more and more in domain of biology. Markov Chain is a stochastic process that model natural phenomenons. Biological sequences (the DNA sequence between genes and other important regions) can be modeled as series of stochastic events. This paper present most of the aspects of discrete Markov Chain and their applications in Bioinformatics.

Published

30.05.2011

How to Cite

1.
BONDOR CI, DRUGAN T. Statistical Methods in Bioinformatics: Markov Chains. Appl Med Inform [Internet]. 2011 May 30 [cited 2024 Apr. 24];11(3, 4):47-53. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/259

Issue

Vol. 11 No. 3, 4 (2002)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.