A new non-linear normalization method for reducing variability in DNA microarray experiments
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
A new non-linear normalization method for reducing variability in DNA microarray experiments. / Workman, Christopher; Jensen, Lars Juhl; Jarmer, Hanne Østergaard; Berka, Randy; Gautier, Laurent; Nielser, Henrik Bjørn; Saxild, Hans Henrik; Nielsen, Claus; Brunak, Søren; Knudsen, Steen.
In: Genome Biology (Online Edition), Vol. 3, No. 9, 2002, p. research0048.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - A new non-linear normalization method for reducing variability in DNA microarray experiments
AU - Workman, Christopher
AU - Jensen, Lars Juhl
AU - Jarmer, Hanne Østergaard
AU - Berka, Randy
AU - Gautier, Laurent
AU - Nielser, Henrik Bjørn
AU - Saxild, Hans Henrik
AU - Nielsen, Claus
AU - Brunak, Søren
AU - Knudsen, Steen
PY - 2002
Y1 - 2002
N2 - Microarray data are subject to multiple sources of variation, of which biological sources are of interest whereas most others are only confounding. Recent work has identified systematic sources of variation that are intensity-dependent and non-linear in nature. Systematic sources of variation are not limited to the differing properties of the cyanine dyes Cy(5) and Cy(3) as observed in cDNA arrays, but are the general case for both oligonucleotide microarray (Affymetrix GeneChips) and cDNA microarray data. Current normalization techniques are most often linear and therefore not capable of fully correcting for these effects.
AB - Microarray data are subject to multiple sources of variation, of which biological sources are of interest whereas most others are only confounding. Recent work has identified systematic sources of variation that are intensity-dependent and non-linear in nature. Systematic sources of variation are not limited to the differing properties of the cyanine dyes Cy(5) and Cy(3) as observed in cDNA arrays, but are the general case for both oligonucleotide microarray (Affymetrix GeneChips) and cDNA microarray data. Current normalization techniques are most often linear and therefore not capable of fully correcting for these effects.
M3 - Journal article
C2 - 12225587
VL - 3
SP - research0048
JO - Genome Biology (Online Edition)
JF - Genome Biology (Online Edition)
SN - 1474-7596
IS - 9
ER -
ID: 40740837