Package: pvca 1.45.0

Jianying LI

pvca: Principal Variance Component Analysis (PVCA)

This package contains the function to assess the batch sourcs by fitting all "sources" as random effects including two-way interaction terms in the Mixed Model(depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book "Batch Effects and Noise in Microarray Experiements, chapter 12.

Authors:Pierre Bushel <[email protected]>

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Peer review:

On BioConductor:pvca-1.45.0(bioc 3.20)pvca-1.44.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

1 exports 2.31 score 44 dependencies 1 dependents 7 mentions

Last updated 2 months agofrom:28552abf88

Exports:pvcaBatchAssess

Dependencies:affyaffyioBiobaseBiocGenericsBiocManagerbootclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclelimmalme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigpreprocessCoreR6RColorBrewerRcppRcppEigenrlangscalesstatmodtibbleutf8vctrsviridisLitevsnwithrzlibbioc