A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology
Joint Authors
Wang, Wei-Jen
Wu, Shih-Lin
Chang, Tzu-Hao
Chang, Cheng-Wei
Horng, Jorng-Tzong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Microarrays are widely used to assess gene expressions.
Most microarray studies focus primarily on identifying differential gene expressions between conditions (e.g., cancer versus normal cells), for discovering the major factors that cause diseases.
Because previous studies have not identified the correlations of differential gene expression between conditions, crucial but abnormal regulations that cause diseases might have been disregarded.
This paper proposes an approach for discovering the condition-specific correlations of gene expressions within biological pathways.
Because analyzing gene expression correlations is time consuming, an Apache Hadoop cloud computing platform was implemented.
Three microarray data sets of breast cancer were collected from the Gene Expression Omnibus, and pathway information from the Kyoto Encyclopedia of Genes and Genomes was applied for discovering meaningful biological correlations.
The results showed that adopting the Hadoop platform considerably decreased the computation time.
Several correlations of differential gene expressions were discovered between the relapse and nonrelapse breast cancer samples, and most of them were involved in cancer regulation and cancer-related pathways.
The results showed that breast cancer recurrence might be highly associated with the abnormal regulations of these gene pairs, rather than with their individual expression levels.
The proposed method was computationally efficient and reliable, and stable results were obtained when different data sets were used.
The proposed method is effective in identifying meaningful biological regulation patterns between conditions.
American Psychological Association (APA)
Chang, Tzu-Hao& Wu, Shih-Lin& Wang, Wei-Jen& Horng, Jorng-Tzong& Chang, Cheng-Wei. 2014. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496871
Modern Language Association (MLA)
Chang, Tzu-Hao…[et al.]. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-496871
American Medical Association (AMA)
Chang, Tzu-Hao& Wu, Shih-Lin& Wang, Wei-Jen& Horng, Jorng-Tzong& Chang, Cheng-Wei. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496871
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496871