Analysis of variance components in gene expression data

Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation. This study presents a variance-components approach to investigating animal-to-animal, between-array, within-array and day-to-day variations for two data sets. The first data set involved estimation of technical variances for pooled control and pooled treated RNA samples. The variance components included between-array, and two nested within-array variances: between-section (the upper- and lowersections of the array are replicates) and within-section (two adjacent spots of the same gene are printed within each section).The second experiment was conducted on four different weeks. Each week there were reference and test samples with a dye-flip replicate in two hybridization days. The variance components included week-to-week, animal-to-animal and between-array and within-array variances. Resul...

• Type: Journal
• Year: 2004
• Where: BIOINFORMATICS
• Authors: James J. Chen, Robert R. Delongchamp, Chen-An Tsai, Huey-miin Hsueh, Frank Sistare, Karol L. Thompson, Varsha G. Desai, James C. Fuscoe
• Keywords: Between-array Variance, BIOINFORMATICS 2004, Variance, Variance Components