A new non-linear normalization method for reducing variability in DNA microarray experiments

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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

Workman, C, Jensen, LJ, Jarmer, HØ, Berka, R, Gautier, L, Nielser, HB, Saxild, HH, Nielsen, C, Brunak, S & Knudsen, S 2002, 'A new non-linear normalization method for reducing variability in DNA microarray experiments', Genome Biology (Online Edition), vol. 3, no. 9, pp. research0048.

APA

Workman, C., Jensen, L. J., Jarmer, H. Ø., Berka, R., Gautier, L., Nielser, H. B., Saxild, H. H., Nielsen, C., Brunak, S., & Knudsen, S. (2002). A new non-linear normalization method for reducing variability in DNA microarray experiments. Genome Biology (Online Edition), 3(9), research0048.

Vancouver

Workman C, Jensen LJ, Jarmer HØ, Berka R, Gautier L, Nielser HB et al. A new non-linear normalization method for reducing variability in DNA microarray experiments. Genome Biology (Online Edition). 2002;3(9):research0048.

Author

Workman, Christopher ; Jensen, Lars Juhl ; Jarmer, Hanne Østergaard ; Berka, Randy ; Gautier, Laurent ; Nielser, Henrik Bjørn ; Saxild, Hans Henrik ; Nielsen, Claus ; Brunak, Søren ; Knudsen, Steen. / A new non-linear normalization method for reducing variability in DNA microarray experiments. In: Genome Biology (Online Edition). 2002 ; Vol. 3, No. 9. pp. research0048.

Bibtex

@article{bcd810e29e8549b1b8f9fd6d1dcf5fbd,
title = "A new non-linear normalization method for reducing variability in DNA microarray experiments",
abstract = "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.",
author = "Christopher Workman and Jensen, {Lars Juhl} and Jarmer, {Hanne {\O}stergaard} and Randy Berka and Laurent Gautier and Nielser, {Henrik Bj{\o}rn} and Saxild, {Hans Henrik} and Claus Nielsen and S{\o}ren Brunak and Steen Knudsen",
year = "2002",
language = "English",
volume = "3",
pages = "research0048",
journal = "Genome Biology (Online Edition)",
issn = "1474-7596",
publisher = "BioMed Central Ltd.",
number = "9",

}

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