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BMCBI
2005
77views more  BMCBI 2005»
14 years 9 months ago
Combining Affymetrix microarray results
Background: As the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes re...
John R. Stevens, R. W. Doerge
BMCBI
2010
136views more  BMCBI 2010»
14 years 9 months ago
A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profiles
Background: Many research results show that the biological systems are composed of functional modules. Members in the same module usually have common functions. This is useful inf...
Chia-Hao Chin, Shu-Hwa Chen, Chin-Wen Ho, Ming-Tat...
BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
BMCBI
2004
106views more  BMCBI 2004»
14 years 9 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
BMCBI
2010
132views more  BMCBI 2010»
14 years 9 months ago
Parallel multiplicity and error discovery rate (EDR) in microarray experiments
Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
Wayne Wenzhong Xu, Clay J. Carter