An Entropy-Based Position Projection Algorithm for Motif Discovery
Joint Authors
Zhang, Yipu
Wang, Ping
Yan, Maode
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Motif discovery problem is crucial for understanding the structure and function of gene expression.
Over the past decades, many attempts using consensus and probability training model for motif finding are successful.
However, the most existing motif discovery algorithms are still time-consuming or easily trapped in a local optimum.
To overcome these shortcomings, in this paper, we propose an entropy-based position projection algorithm, called EPP, which designs a projection process to divide the dataset and explores the best local optimal solution.
The experimental results on real DNA sequences, Tompa data, and ChIP-seq data show that EPP is advantageous in dealing with the motif discovery problem and outperforms current widely used algorithms.
American Psychological Association (APA)
Zhang, Yipu& Wang, Ping& Yan, Maode. 2016. An Entropy-Based Position Projection Algorithm for Motif Discovery. BioMed Research International،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099237
Modern Language Association (MLA)
Zhang, Yipu…[et al.]. An Entropy-Based Position Projection Algorithm for Motif Discovery. BioMed Research International No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1099237
American Medical Association (AMA)
Zhang, Yipu& Wang, Ping& Yan, Maode. An Entropy-Based Position Projection Algorithm for Motif Discovery. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099237
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099237