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A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules
Joint Authors
Mu, Wenbo
Roqueiro, Damian
Dai, Yang
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Transcription factor and microRNA are two types of key regulators of gene expression.
Their regulatory mechanisms are highly complex.
In this study, we propose a computational method to predict condition-specific regulatory modules that consist of microRNAs, transcription factors, and their commonly regulated genes.
We used matched global expression profiles of mRNAs and microRNAs together with the predicted targets of transcription factors and microRNAs to construct an underlying regulatory network.
Our method searches for highly scored modules from the network based on a two-step heuristic method that combines genetic and local search algorithms.
Using two matched expression datasets, we demonstrate that our method can identify highly scored modules with statistical significance and biological relevance.
The identified regulatory modules may provide useful insights on the mechanisms of transcription factors and microRNAs.
American Psychological Association (APA)
Mu, Wenbo& Roqueiro, Damian& Dai, Yang. 2013. A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1011663
Modern Language Association (MLA)
Mu, Wenbo…[et al.]. A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules. The Scientific World Journal No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1011663
American Medical Association (AMA)
Mu, Wenbo& Roqueiro, Damian& Dai, Yang. A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1011663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011663