Robust Gene Expression Index
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-12
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The frequentist gene expression index (FGX) was recently developed to measure expression on Affymetrix oligonucleotide DNA arrays.
In this study, we extend FGX to cover nonnormal log expressions, specifically long-tailed symmetric densities and call our new index as robust gene expression index (RGX).
In estimation, we implement the modified maximum likelihood method to unravel the elusive solutions of likelihood equations and utilize the Fisher information matrix for covariance terms.
From the analysis via the bench-mark datasets and simulated data, it is shown that RGX has promising results and mostly outperforms FGX in terms of relative efficiency of the estimated signals, in particular, when the data are nonnormal.
American Psychological Association (APA)
Purutçuoǧlu, Vilda. 2012. Robust Gene Expression Index. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001380
Modern Language Association (MLA)
Purutçuoǧlu, Vilda. Robust Gene Expression Index. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1001380
American Medical Association (AMA)
Purutçuoǧlu, Vilda. Robust Gene Expression Index. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1001380
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001380