API for DESeq
Differential gene expression analysis based on the negative binomial distribution

Global functions
CountDataSet-class Man page
adjustScvForBias Man page Source code
conditions Man page
conditions,CountDataSet-method Man page
conditions<-,CountDataSet-method Man page
counts Man page
counts,CountDataSet-method Man page
counts<-,CountDataSet,matrix-method Man page
dispTable Man page
dispTable,CountDataSet-method Man page
estimateAndFitDispersionsFromBaseMeansAndVariances Source code
estimateAndFitDispersionsWithCoxReid Source code
estimateDispersions Man page
estimateDispersions,CountDataSet-method Man page
estimateSizeFactors Man page
estimateSizeFactors,CountDataSet-method Man page
estimateSizeFactorsForMatrix Man page Source code
estimateVarianceFunctions Man page Source code
fitInfo Man page Source code
fitNbinomGLMs Man page Source code
fitNbinomGLMsForMatrix Man page Source code
getBaseMeansAndPooledVariances Source code
getBaseMeansAndVariances Man page Source code
getVarianceStabilizedData Man page Source code
makeExampleCountDataSet Man page Source code
modelMatrixToConditionFactor Source code
nbinomGLMTest Man page Source code
nbinomTest Man page Source code
nbinomTestForMatrices Man page Source code
nbkd.sf Man page Source code
newCountDataSet Man page Source code
newCountDataSetFromHTSeqCount Man page Source code
onAttach Source code
parametricDispersionFit Source code
plotDispEsts Man page Source code
plotMA Man page Source code
plotPCA Man page Source code
prepareScvBiasCorrectionFits Source code
profileLogLikelihood Source code
residualsEcdfPlot Man page
safepredict Source code
scvPlot Man page Source code
sizeFactors Man page
sizeFactors,CountDataSet-method Man page
sizeFactors<-,CountDataSet,numeric-method Man page
varianceFitDiagnostics Man page
varianceStabilizingTransformation Man page Source code
DESeq documentation built on May 31, 2017, 11:31 a.m.