Package: scPCA 1.19.0
scPCA: Sparse Contrastive Principal Component Analysis
A toolbox for sparse contrastive principal component analysis (scPCA) of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA's ability to disentangle biological signal from unwanted variation through the use of control data. Also implements and extends cPCA.
Authors:
scPCA_1.19.0.tar.gz
scPCA_1.19.0.zip(r-4.5)scPCA_1.19.0.zip(r-4.4)scPCA_1.19.0.zip(r-4.3)
scPCA_1.19.0.tgz(r-4.4-any)scPCA_1.19.0.tgz(r-4.3-any)
scPCA_1.19.0.tar.gz(r-4.5-noble)scPCA_1.19.0.tar.gz(r-4.4-noble)
scPCA_1.19.0.tgz(r-4.4-emscripten)scPCA_1.19.0.tgz(r-4.3-emscripten)
scPCA.pdf |scPCA.html✨
scPCA/json (API)
NEWS
# Install 'scPCA' in R: |
install.packages('scPCA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/philboileau/scpca/issues
- background_df - Simulated Background Data for cPCA and scPCA
- toy_df - Simulated Target Data for cPCA and scPCA
On BioConductor:scPCA-1.19.0(bioc 3.20)scPCA-1.18.0(bioc 3.19)
Last updated 2 months agofrom:dd18d37d7c
Exports:scPCA
Dependencies:abindassertthatBHBiocGenericsBiocParallelcliclustercodetoolscoopcpp11crayondata.tableDelayedArraydigestdplyrelasticnetfansiformatRfutile.loggerfutile.optionsfuturefuture.applygenericsglobalsglueIRangeskernlablambda.rlarslatticelifecyclelistenvmagrittrMatrixMatrixGenericsmatrixStatsorigamiparallellypillarpkgconfigpurrrR6rbibutilsRcppRcppEigenRdpackrlangRSpectrarsvdS4ArraysS4VectorsScaledMatrixsnowSparseArraysparsepcastringistringrtibbletidyselectutf8vctrswithrXVectorzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Simulated Background Data for cPCA and scPCA | background_df |
Sparse Contrastive Principal Component Analysis | scPCA |
Simulated Target Data for cPCA and scPCA | toy_df |