calcCCD and calcDeltaCCD now produce .csv
lists of genes with zero group-wise variance or which are missing from
the reference.globalVariables call to get around
R CMD check warning with null variable assignment and using
the rlang .data variable for ggplot2.calcCCD and calcDeltaCCD to throw
errors for genes with zero group-wise variance.calcCCD and calcDeltaCCD now require all
genes from the reference to be present in the expression matrix passed
to emat.plotRefHeatmap().calcCorr(), calcCCD(),
calcDeltaCCD() to use data.table.scale argument to calcCCD()
and calcDeltaCCD() to scale CCD by number of gene
pairs.plotHeatmap().pkgdown site.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.