SanityR
R/Bioconductor interface to the Sanity model gene expression analysis
Bioconductor version: 3.23 · Package version: 1.2.0
a Bayesian normalization procedure derived from first principles. Sanity estimates expression values and associated error bars directly from raw unique molecular identifier (UMI) counts without any tunable parameters.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SanityR")Details
| Maintainer | Teo Sakel <teo@intelligentbiodata.com> |
| Author | Teo Sakel [aut, cre] (ORCID: <https://orcid.org/0000-0001-9946-9498>), MCIU/AEI [fnd] (ROR: <https://ror.org/05r0vyz12>, DOI: 10.13039/501100011033) |
| License | GPL (>= 3) |
| URL | https://github.com/TeoSakel/SanityR |
| Bug Reports | https://github.com/TeoSakel/SanityR/issues |
| Downloads rank | 266 |
| Source branch | RELEASE_3_23 |
| biocViews | Bayesian, GeneExpression, Normalization, SingleCell, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SanityR_1.2.0.tar.gz |
| Windows binary (x86_64) | SanityR_1.2.0.zip |
| macOS binary (arm64) | SanityR_1.2.0.tgz |
| macOS binary (x86_64) | SanityR_1.2.0.tgz |
Dependencies
Imports: Rcpp, BiocGenerics, BiocParallel, MatrixGenerics, methods, S4Vectors, scuttle, SingleCellExperiment, SummarizedExperiment
LinkingTo: Rcpp
Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), scater, Rtsne