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All functions

ApplyNormalization()
Applies normalization on sequencing data
AssessNormalization()
Assessments of normalization performance
BetweenStatPlot()
Box-violin plot comparing values between groups
Counts() `Counts<-`()
Accessor for the "counts" slot of Enone object.
CreateGroupMatrix()
Create a matrix for RUVSeq
DotPlot()
Dot-plot with mean_sd bar
FilterLowExprGene()
Filter Low Expressed Genes
FindEnrichment()
Find enriched genes between enrich and input samples
GeneSelection()
Gene set selection
OutlierTest()
Outlier Test
PCA_Biplot()
Biplot of individuals and variables
PCAplot()
PCA plot from counts matrix
PS.Est.Depth()
Esimate sequencing depth
UseNormalization()
Apply specific normalization method
countReplicate()
Count numbers of each members
createEnone()
Enone object and constructor
.keepConsRows()
Keep Consistent Rows in Object
.mean_sd()
Statistics summary (mean and +/- sd)
edgeRDE()
Wrapper of edgeR procedure
enONE()
Normalization and assessment in one function
enRUVg()
Remove unwanted variation using control genes
enRUVs()
Remove unwanted variation using control genes within replicates
getEnrichment()
Accessor of enrichment results
getFactor()
Accessor of Enone normalization factors
getGeneSet()
Accessor of gene set
getMetrics()
Accessor of Enone metrics
listParameter() getParameter()
Accessor of Enone parameter
getScore()
Accessor of Enone score
listNormalization()
Accessor of normalization methods
normDESeq()
Perform DESeq normalization
normPossionSeq()
Perform PossionSeq normalization
normRUV()
Perform RUV normalization
normTC()
Perform total count normalization
normTMM()
Perform TMM normalization
normUQ()
Perform upper-quartile normalization
reduceRes()
Combine list of DE results
synEnrichment()
Enrichment level of synthetic RNA