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» Classification of microarray data using gene networks
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GPB
2008
41views more  GPB 2008»
15 years 4 months ago
Gene Expression Data Classification Using Consensus Independent Component Analysis
Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, X...
132
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BMCBI
2005
113views more  BMCBI 2005»
15 years 4 months ago
Normal uniform mixture differential gene expression detection for cDNA microarrays
Background: One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the ...
Nema Dean, Adrian E. Raftery
BMCBI
2005
116views more  BMCBI 2005»
15 years 4 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...
177
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BMCBI
2006
374views more  BMCBI 2006»
15 years 4 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...