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BMCBI
2007
126views more  BMCBI 2007»
14 years 9 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
BMCBI
2007
126views more  BMCBI 2007»
14 years 9 months ago
Comparison of gene expression profiles altered by comfrey and riddelliine in rat liver
Background: Comfrey (Symphytum officinale) is a perennial plant and has been consumed by humans as a vegetable, a tea and an herbal medicine for more than 2000 years. It, however,...
Lei Guo, Nan Mei, Stacey L. Dial, James C. Fuscoe,...
BMCBI
2010
155views more  BMCBI 2010»
14 years 9 months ago
A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
Background: In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of...
Fan Shi, Christopher Leckie, Geoff MacIntyre, Izha...
BMCBI
2004
108views more  BMCBI 2004»
14 years 9 months 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
76
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BMCBI
2006
131views more  BMCBI 2006»
14 years 9 months ago
The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
Background: Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, t...
Allan A. Sioson, Shrinivasrao P. Mane, Pinghua Li,...