limma to SAM or EBAM
Transforms the output of an analysis with limma into a
EBAM object, such that a SAM or EBAM analysis, respectively,
can be performed using the test statistics provided by limma.
1 2 3 4
an object of class
column number or name corresponding to the coefficient or contrast of
interest. For details, see the argument
should the limma t-statistic be considered? If
further arguments for the SAM analysis. See
the minimum posterior probability for a gene to be called differentially
expressed (or more generally, for a variable to be called significant) in an EBAM
analysis. For details, see
further arguments for an EBAM analysis. See
An object of class
Holger Schwender, firstname.lastname@example.org
Efron, B., Tibshirani, R., Storey, J.D. and Tusher, V. (2001). Empirical Bayes Analysis of a Microarray Experiment. JASA, 96, 1151-1160.
Smyth, G.K. (2004). Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments. Statistical Applications in Genetics and Molecular Biology, 3(1), Article 3.
Tusher, V.G., Tibshirani, R., and Chu, G. (2001). Significance Analysis of Microarrays Applied to the Ionizing Radiation Response. PNAS, 98, 5116-5121.
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