metaMA-package
(Package: metaMA) :
Meta-analysis for MicroArrays
Combines either p-values or moderated effect sizes from different studies to find differentially expressed genes.
● Data Source:
CranContrib
● Keywords: package
● Alias: metaMA, metaMA-package
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EScombination
(Package: metaMA) :
Effect size combination for unpaired data
Calculates effect sizes from unpaired data either from classical or moderated t-tests (Limma, SMVar) for each study and combines these effect sizes.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: EScombination
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directEScombi
(Package: metaMA) :
Direct effect size combination
Combines effect sizes already calculated.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: directEScombi
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Combines one sided p-values with the inverse normal method.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: directpvalcombi
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Performs t-tests for unpaired data row by row.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: row.ttest.stat
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calcfit2Diffrep
(Package: metaMA) :
Empirical Bayes statistics from limma analysis with unpaired data
Computes empirical Bayes statistics from limma analysis with only one group effect.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: calcfit2Diffrep
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rowVars
(Package: metaMA) :
Row variance of an array
Calculates variances of each row of an array
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: rowVars
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effectsize
(Package: metaMA) :
Calculates effect sizes from given t or moderated t statistics
Function not to be used separately.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: effectsize
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EScombination.paired
(Package: metaMA) :
Effect size combination for paired data
Calculates effect sizes from paired data either from classical or moderated t-tests (Limma, SMVar) for each study and combines these effect sizes.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: EScombination.paired
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IDDIRR
(Package: metaMA) :
Integration-driven Discovery and Integration-driven Revision Rates
Calculates the gain or the loss of differentially expressed genes due to meta-analysis compared to individual studies.
● Data Source:
CranContrib
● Keywords: methods, models
● Alias: IDDIRR
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