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Detecting Differentially Variable MicroRNAs via Model-Based Clustering
Joint Authors
Fu, Yuejiao
Li, Xuan
Wang, Xiaogang
DeMeo, Dawn L.
Tantisira, Kelan
Weiss, Scott T.
Qiu, Weiliang
Source
International Journal of Genomics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Identifying differentially variable (DV) genomic probes is becoming a new approach to detect novel genomic risk factors for complex human diseases.
The F test is the standard equal-variance test in statistics.
For high-throughput genomic data, the probe-wise F test has been successfully used to detect biologically relevant DNA methylation marks that have different variances between two groups of subjects (e.g., cases versus controls).
In addition to DNA methylation, microRNA (miRNA) is another important mechanism of epigenetics.
However, to the best of our knowledge, no studies have identified DV miRNAs.
In this article, we proposed a novel model-based clustering method to improve the power of the probe-wise F test to detect DV miRNAs.
We imposed special structures on covariance matrices for each cluster of miRNAs based on the prior information about the relationship between variances in cases and controls and about the independence among them.
Simulation studies showed that the proposed method seems promising in detecting DV probes.
Based on two real datasets about human hepatocellular carcinoma (HCC), we identified 7 DV-only miRNAs (hsa-miR-1826, hsa-miR-191, hsa-miR-194-star, hsa-miR-222, hsa-miR-502-3p, hsa-miR-93, and hsa-miR-99b) using the proposed method, one (hsa-miR-1826) of which has not yet been reported to be related to HCC in the literature.
American Psychological Association (APA)
Li, Xuan& Fu, Yuejiao& Wang, Xiaogang& DeMeo, Dawn L.& Tantisira, Kelan& Weiss, Scott T.…[et al.]. 2018. Detecting Differentially Variable MicroRNAs via Model-Based Clustering. International Journal of Genomics،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1172811
Modern Language Association (MLA)
Li, Xuan…[et al.]. Detecting Differentially Variable MicroRNAs via Model-Based Clustering. International Journal of Genomics No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1172811
American Medical Association (AMA)
Li, Xuan& Fu, Yuejiao& Wang, Xiaogang& DeMeo, Dawn L.& Tantisira, Kelan& Weiss, Scott T.…[et al.]. Detecting Differentially Variable MicroRNAs via Model-Based Clustering. International Journal of Genomics. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1172811
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172811