Package: scBFA
Version: 1.2.0
Date: 2019-03-09
Title: A dimensionality reduction tool using gene detection pattern to
        mitigate noisy expression profile of scRNA-seq
Description: 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@R: 
   c(person(given = "Ruoxin",
            family = "Li",
            role = c("aut", "cre"),
            email = "uskli@ucdavis.edu"),
     person(given = "Gerald",
            family = "Quon",
            role = c("aut"),
            email = "gquon@ucdavis.edu"))
URL: https://github.com/ucdavis/quon-titative-biology/BFA
BugReports: https://github.com/ucdavis/quon-titative-biology/BFA/issues
biocViews: SingleCell, Transcriptomics,
        DimensionReduction,GeneExpression, ATACSeq, BatchEffect, KEGG,
        QualityControl
Depends: R (>= 3.6)
Imports: SingleCellExperiment, SummarizedExperiment, Seurat, MASS,
        zinbwave, stats, copula, ggplot2, DESeq2, utils, grid, methods,
        Matrix
Suggests: knitr, rmarkdown, testthat, Rtsne
VignetteBuilder: knitr
RoxygenNote: 7.0.2
License: GPL-3 + file LICENSE
LazyData: true
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/scBFA
git_branch: RELEASE_3_11
git_last_commit: b42ae7f
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
NeedsCompilation: no
Packaged: 2020-04-28 07:06:39 UTC; biocbuild
Author: Ruoxin Li [aut, cre],
  Gerald Quon [aut]
Maintainer: Ruoxin Li <uskli@ucdavis.edu>
Built: R 4.0.0; ; 2020-04-28 18:12:07 UTC; windows
