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BMCBI
2007
99views more  BMCBI 2007»
13 years 6 months ago
Orthogonal projections to latent structures as a strategy for microarray data normalization
Background: During generation of microarray data, various forms of systematic biases are frequently introduced which limits accuracy and precision of the results. In order to prop...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...
BMCBI
2010
153views more  BMCBI 2010»
13 years 6 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
BMCBI
2005
107views more  BMCBI 2005»
13 years 6 months ago
A stepwise framework for the normalization of array CGH data
Background: In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly...
Mehrnoush Khojasteh, Wan L. Lam, Rabab Kreidieh Wa...
BMCBI
2010
76views more  BMCBI 2010»
13 years 6 months ago
Validation and characterization of DNA microarray gene expression data distribution and associated moments
Background: The data from DNA microarrays are increasingly being used in order to understand effects of different conditions, exposures or diseases on the modulation of the expres...
Reuben Thomas, Luis de la Torre, Xiaoqing Chang, S...
BMCBI
2005
116views more  BMCBI 2005»
13 years 6 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...