Title: Estimating relative noise to signal in DNA microarray data

Authors: Huixiao Hong; Qilong Hong; Jie Liu; Weida Tong; Leming Shi

Addresses: Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA ' Department of Mechanical Engineering, University of Arkansas, Fayetteville, Arkansas 72701, USA ' University of Arkansas at Little Rock/University of Arkansas for Medical Sciences Bioinformatics Graduate Program, Little Rock, Arkansas 72204, USA ' Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA ' Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA

Abstract: A method was proposed for estimating noise relative to signal in microarray data. A signal to noise index, SNI, was defined and used to measure the level of signal compared to the noise contained in two microarray data sets. Simulations were conducted to generate the quantitative relationship between the SNI and its measurement of relative noise. The method was applied to two well known microarray data sets. Relative noise was estimated for both data sets, and the results were consistent with the observations in the original papers, demonstrating the proposed method is reliable for estimating relative noise in microarray data.

Keywords: DNA microarray data; gene expression; noise estimation; simulation; bioinformatics; signal to noise index; relative noise measurement.

DOI: 10.1504/IJBRA.2013.056085

International Journal of Bioinformatics Research and Applications, 2013 Vol.9 No.5, pp.433 - 448

Received: 31 Mar 2011
Accepted: 02 Sep 2011
Published online: 18 Sep 2014 *

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