title: Data extraction from composite oligonucleotide microarrays.
abstract: Microarray or DNA chip technology is revolutionizing biology by empowering researchers in the collection of broad-scope gene information. It is well known that microarray-based measurements exhibit a substantial amount of variability due to a number of possible sources, ranging from hybridization conditions to image capture and analysis. In order to make reliable inferences and carry out quantitative analysis with microarray data, it is generally advisable to have more than one measurement of each gene. The availability of both between-array and within-array replicate measurements is essential for this purpose. Although statistical considerations call for increasing the number of replicates of both types, the latter is particularly challenging in practice due to a number of limiting factors, especially for in-house spotting facilities. We propose a novel approach to design so-called composite microarrays, which allow more replicates to be obtained without increasing the number of printed spots.
authors.affiliation: Cancer Genomics Laboratory, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 85, Houston, TX 77030, USA. is@ieee.org
authors.forename: Ilya
authors.initials: I
authors.lastname: Shmulevich
authors.forename: Jaakko
authors.initials: J
authors.lastname: Astola
authors.forename: David
authors.initials: D
authors.lastname: Cogdell
authors.forename: Stanley R
authors.initials: SR
authors.lastname: Hamilton
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D015203:Reproducibility of Results; D014407:Tumor Cells, Cultured