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» Microarray blob-defect removal improves array analysis
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71
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BMCBI
2004
108views more  BMCBI 2004»
15 years 16 days ago
Improving the scaling normalization for high-density oligonucleotide GeneChip expression microarrays
Background: Normalization is an important step for microarray data analysis to minimize biological and technical variations. Choosing a suitable approach can be critical. The defa...
Chao Lu
108
Voted
BMCBI
2007
163views more  BMCBI 2007»
15 years 20 days ago
Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
Carmen Pin, Mark Reuter
112
Voted
BMCBI
2010
135views more  BMCBI 2010»
15 years 23 days ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
BMCBI
2005
169views more  BMCBI 2005»
15 years 17 days ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon
126
Voted
BMCBI
2005
107views more  BMCBI 2005»
15 years 17 days 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...