title: Estimating relative noise to signal in DNA microarray data.
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.
authors.affiliation: Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA. Huixiao.Hong@fda.hhs.gov
authors.forename: Huixiao
authors.initials: H
authors.lastname: Hong
authors.forename: Qilong
authors.initials: Q
authors.lastname: Hong
authors.forename: Jie
authors.initials: J
authors.lastname: Liu
authors.forename: Weida
authors.initials: W
authors.lastname: Tong
authors.forename: Leming
authors.initials: L
authors.lastname: Shi
mesh_terms: D003198:Computer Simulation; D016208:Databases, Factual; D020869:Gene Expression Profiling; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*