Cargando…
A new non-linear normalization method for reducing variability in DNA microarray experiments
BACKGROUND: 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 vari...
Autores principales: | Workman, Christopher, Jensen, Lars Juhl, Jarmer, Hanne, Berka, Randy, Gautier, Laurent, Nielser, Henrik Bjørn, Saxild, Hans-Henrik, Nielsen, Claus, Brunak, Søren, Knudsen, Steen |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2002
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC126873/ https://www.ncbi.nlm.nih.gov/pubmed/12225587 |
Ejemplares similares
-
The transcriptionally active regions in the genome of Bacillus subtilis
por: Rasmussen, Simon, et al.
Publicado: (2009) -
High-resolution Mapping of Linear Antibody Epitopes Using Ultrahigh-density Peptide Microarrays
por: Buus, Søren, et al.
Publicado: (2012) -
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
por: Westergaard, David, et al.
Publicado: (2018) -
OligoWiz 2.0—integrating sequence feature annotation into the design of microarray probes
por: Wernersson, Rasmus, et al.
Publicado: (2005) -
Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population
por: Eriksson, Robert, et al.
Publicado: (2014)