On the Monte-Carlo Expectation Maximization for Finding Motifs in DNA Sequences | IEEE Journals & Magazine | IEEE Xplore

On the Monte-Carlo Expectation Maximization for Finding Motifs in DNA Sequences


Abstract:

Finding conserved locations or motifs in genomic sequences is of paramount importance. Expectation maximization (EM)-based algorithms are widely employed to solve motif f...Show More

Abstract:

Finding conserved locations or motifs in genomic sequences is of paramount importance. Expectation maximization (EM)-based algorithms are widely employed to solve motif finding problems. The present study proposes a novel initialization technique and model-shifting scheme for Monte-Carlo-based EM methods for motif finding. Two popular EM-based motif finding algorithms are compared to the proposed method, which offers improved motif prediction accuracy on a synthetic dataset and a true biological dataset.
Published in: IEEE Journal of Biomedical and Health Informatics ( Volume: 19, Issue: 2, March 2015)
Page(s): 677 - 686
Date of Publication: 08 May 2014

ISSN Information:

PubMed ID: 24833606

Funding Agency:


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