Man pages for ttdtrang/gbnorm
Graph-based Normalization of RNA-seq data

build.graphBuild graph from correlation matrix
cdevCondition-number-based deviation of X and Y, assuming X can...
cdev.genericCondition-number-based deviation of X and Y, for generally...
community.cutCommunity cut
community.gceCommunity detection by GCE
community.shellcommunity.shell
community.strength.internalCommunity internal strength
community.volumeCommunity volume
crossvalgeneric function for cross-validation
cv.lognormCoefficient of variation, unbiased estimate for log-normal...
fast.condNumberCondition number using fast.svd
geom.meanGeometric mean
get.references.apclusterget.references.apcluster
get.references.blocksIdentify the best set of references
get.references.dbscanget.references.dbscan
get.references.hclustget.references.hclust
get.references.v1get.references
linspacelinspace
measure.Mcalculate M measure, defined as
normalize.by.degesNormalize by DEGES
normalize.by.deseqCall estimateSizeFactorsForMatrix by DESeq2
normalize.by.poissonseqNormalize by PoissonSeq
normalize.by.refsNormalizing (global-scaling) using references
normalize.by.ruv_rNormalize by RUVr
normalize.by.scaleFactorsnormalize.by.scaleFactors
normalize.by.tmmCall calcNormFactors by edgeR
normalize.by.uqNormalize by Upper Quantile
rank1.residualsthe magnitude of the singular values except the first one
rmsdLeast root mean square distance between two set of points in...
simulate.countssimulate.counts
srmsStandardized root mean squared deviation between two matrices
variance.refsvariance.refs
ttdtrang/gbnorm documentation built on Dec. 23, 2021, 1:01 p.m.