Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis
Joint Authors
Huang, Yufei
Flores, Mario
Hsiao, Tzu-Hung
Chuang, Eric Y.
Chen, Yidong
Chiu, Yu-Chiao
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Common microarray and next-generation sequencing data analysis concentrate on tumor subtype classification, marker detection, and transcriptional regulation discovery during biological processes by exploring the correlated gene expression patterns and their shared functions.
Genetic regulatory network (GRN) based approaches have been employed in many large studies in order to scrutinize for dysregulation and potential treatment controls.
In addition to gene regulation and network construction, the concept of the network modulator that has significant systemic impact has been proposed, and detection algorithms have been developed in past years.
Here we provide a unified mathematic description of these methods, followed with a brief survey of these modulator identification algorithms.
As an early attempt to extend the concept to new RNA regulation mechanism, competitive endogenous RNA (ceRNA), into a modulator framework, we provide two applications to illustrate the network construction, modulation effect, and the preliminary finding from these networks.
Those methods we surveyed and developed are used to dissect the regulated network under different modulators.
Not limit to these, the concept of “modulation” can adapt to various biological mechanisms to discover the novel gene regulation mechanisms.
American Psychological Association (APA)
Flores, Mario& Hsiao, Tzu-Hung& Chiu, Yu-Chiao& Chuang, Eric Y.& Huang, Yufei& Chen, Yidong. 2013. Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis. Advances in Bioinformatics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-465826
Modern Language Association (MLA)
Flores, Mario…[et al.]. Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis. Advances in Bioinformatics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-465826
American Medical Association (AMA)
Flores, Mario& Hsiao, Tzu-Hung& Chiu, Yu-Chiao& Chuang, Eric Y.& Huang, Yufei& Chen, Yidong. Gene Regulation, Modulation, and Their Applications in Gene Expression Data Analysis. Advances in Bioinformatics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-465826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465826