2012
DOI: 10.1093/nar/gks420
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Cyber-T web server: differential analysis of high-throughput data

Abstract: The Bayesian regularization method for high-throughput differential analysis, described in Baldi and Long (A Bayesian framework for the analysis of microarray expression data: regularized t-test and statistical inferences of gene changes. Bioinformatics 2001: 17: 509-519) and implemented in the Cyber-T web server, is one of the most widely validated. Cyber-T implements a t-test using a Bayesian framework to compute a regularized variance of the measurements associated with each probe under each condition. This… Show more

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Cited by 140 publications
(131 citation statements)
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References 27 publications
(35 reference statements)
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“…For each of the four ZT time points, a regularized paired T-test was performed to compare the mean intensity between Clock −/− and WT liver samples using CyberT (64,65). The sliding window size for Bayesian SD estimation was set to 7.…”
Section: Methodsmentioning
confidence: 99%
“…For each of the four ZT time points, a regularized paired T-test was performed to compare the mean intensity between Clock −/− and WT liver samples using CyberT (64,65). The sliding window size for Bayesian SD estimation was set to 7.…”
Section: Methodsmentioning
confidence: 99%
“…In total, 16,993 probe sets were deemed present by the MAS5.0 algorithm. Once processed, Guanosine-Cytosine Robust Multiarray Average-normalized gene expression values were analyzed to identify differentially expressed genes by a regularized Student's t test based on a Bayesian statistical framework using the software program Cyber-T (Kayala and Baldi, 2012). Changes were considered significant at a false discovery rate correction level of PPDE(,P ) .…”
Section: Microarray Analysismentioning
confidence: 99%
“…Percellome microarray data were analyzed using CyberT (Kayala and Baldi, 2012). We did not use low value thresholding/offsetting or log/VSN normalizations.…”
Section: Percellome Microarray Analysismentioning
confidence: 99%