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» Determining gene expression on a single pair of microarrays
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BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
Empirical validation of the S-Score algorithm in the analysis of gene expression data
Background: Current methods of analyzing Affymetrix GeneChip
Richard E. Kennedy, Kellie J. Archer, Michael F. M...
BMCBI
2006
138views more  BMCBI 2006»
13 years 7 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
BMCBI
2010
170views more  BMCBI 2010»
13 years 7 months ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
BMCBI
2006
88views more  BMCBI 2006»
13 years 7 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic
BMCBI
2007
130views more  BMCBI 2007»
13 years 7 months ago
Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
Background: Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) pr...
James J. Chen, Huey-miin Hsueh, Robert R. Delongch...