A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The discovery of cis-regulatory modules (CRMs) is the key to understanding mechanisms of transcription regulation.
Since CRMs have specific regulatory structures that are the basis for the regulation of gene expression, how to model the regulatory structure of CRMs has a considerable impact on the performance of CRM identification.
The paper proposes a CRM discovery algorithm called ComSPS.
ComSPS builds a regulatory structure model of CRMs based on HMM by exploring the rules of CRM transcriptional grammar that governs the internal motif site arrangement of CRMs.
We test ComSPS on three benchmark datasets and compare it with five existing methods.
Experimental results show that ComSPS performs better than them.
American Psychological Association (APA)
Guo, Haitao& Huo, Hongwei. 2017. A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model. BioMed Research International،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1138020
Modern Language Association (MLA)
Guo, Haitao& Huo, Hongwei. A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model. BioMed Research International No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1138020
American Medical Association (AMA)
Guo, Haitao& Huo, Hongwei. A New Algorithm for Identifying Cis-Regulatory Modules Based on Hidden Markov Model. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1138020
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138020