A BIDIRECTIONAL HIDDEN MARKOV MODEL IN LINEAR MEMORY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

EJLALI N.; PEZESHK H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF STATISTICAL SCIENCES Year:2009 | Volume:2 | Issue:2 Page(s): 131-148

Download Full-Text

Persian Verion

View:

957

Download:

Cites:

Information Journal Paper

Title

A BIDIRECTIONAL HIDDEN MARKOV MODEL IN LINEAR MEMORY

Author(s)

EJLALI N. | PEZESHK H. | Issue Writer Certificate

Keywords

HIDDEN MARKOV MODELSQ4

BAUM-WELCH ALGORITHMQ4

BIBDIRECTIONAL MODELQ4

PROFILE HIDDEN MARKOV MODELQ4

LINEAR MEMORYQ4

Abstract

HIDDEN MARKOV MODELS are widely used in Bioinformatics. They are applied to protein sequence alignment, protein family annotation and gene-finding. The Baum-Welch training is an expectation-maximization algorithm for training the emission and transition probabilities of hidden Markov odels. For very long training sequence, even the most efficient algorithms are memory-consuming. In this paper we discuss different approaches to decrease the memory use and compare the performance of different algorithms. In addition, we propose a bidirection algorithm with LINEAR MEMORY. We apply this algorithm to simulated data of protein profile to analyze the strength and weakness of the algorithm.

Cites

No record.

References

No record.

Cite

APA: Copy

EJLALI, N., & PEZESHK, H.. (2009). A BIDIRECTIONAL HIDDEN MARKOV MODEL IN LINEAR MEMORY. JOURNAL OF STATISTICAL SCIENCES, 2(2), 131-148. SID. https://sid.ir/paper/124161/en

Vancouver: Copy

EJLALI N., PEZESHK H.. A BIDIRECTIONAL HIDDEN MARKOV MODEL IN LINEAR MEMORY. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2009;2(2):131-148. Available from: https://sid.ir/paper/124161/en

IEEE: Copy

N. EJLALI, and H. PEZESHK, “A BIDIRECTIONAL HIDDEN MARKOV MODEL IN LINEAR MEMORY,” JOURNAL OF STATISTICAL SCIENCES, vol. 2, no. 2, pp. 131–148, 2009, [Online]. Available: https://sid.ir/paper/124161/en

Related Journal Papers