Package: scBFA 1.19.0
scBFA: A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq
This package is designed to model gene detection pattern of scRNA-seq through a binary factor analysis model. This model allows user to pass into a cell level covariate matrix X and gene level covariate matrix Q to account for nuisance variance(e.g batch effect), and it will output a low dimensional embedding matrix for downstream analysis.
Authors:
scBFA_1.19.0.tar.gz
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scBFA.pdf |scBFA.html✨
scBFA/json (API)
NEWS
# Install 'scBFA' in R: |
install.packages('scBFA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ucdavis/quon-titative-biology/issues
- celltype - Cell types as labels of example scRNA-seq dataset
- celltype_toy - Toy cell type vector with 3 cell types generated for 5 cells in toy dataset
- disperPlot - Reference dataset
- exprdata - ScRNA-seq dataset
- zinb_toy - Example zinb object after fitting a toy dataset with 5 cells and 10 genes
On BioConductor:scBFA-1.19.0(bioc 3.20)scBFA-1.18.0(bioc 3.19)
Last updated 2 months agofrom:96c5a696d0
Exports:BinaryPCAdiagnosegetGeneExprgetLoadinggetScorescBFAscNoiseSim
Dependencies:abindADGofTestannotateAnnotationDbiaskpassbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64bitopsblobbslibcachemcaToolscliclustercodetoolscolorspacecommonmarkcopulacowplotcpp11crayoncrosstalkcurldata.tableDBIDelayedArraydeldirDESeq2digestdotCall64dplyrdqrngedgeRevaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomeformatRfsfutile.loggerfutile.optionsfuturefuture.applygenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelggridgesglobalsgluegoftestgplotsgridExtragslgtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglambda.rlaterlatticelazyevalleidenlifecyclelimmalistenvlmtestlocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeminiUImunsellmvtnormnlmenumDerivopensslparallellypatchworkpbapplypcaPPpillarpkgconfigplogrplotlyplyrpngpolyclipprogressrpromisespsplinepurrrR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectraRSQLiteRtsneS4ArraysS4VectorssassscalesscattermoresctransformSeuratSeuratObjectshinySingleCellExperimentsitmosnowsoftImputesourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.utilsstablediststatmodstringistringrSummarizedExperimentsurvivalsystensortibbletidyrtidyselecttinytexUCSC.utilsutf8uwotvctrsviridisLitewithrxfunXMLxtableXVectoryamlzinbwavezlibbioczoo