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SanityR

This is the development version of SanityR; for the stable release version, see SanityR.

R/Bioconductor interface to the Sanity model gene expression analysis


Bioconductor version: Development (3.23)

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.

Author: Teo Sakel [aut, cre] ORCID iD ORCID: 0000-0001-9946-9498 , MCIU/AEI [fnd] (ROR: <https://ror.org/05r0vyz12>, DOI: 10.13039/501100011033)

Maintainer: Teo Sakel <teo at intelligentbiodata.com>

Citation (from within R, enter citation("SanityR")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SanityR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SanityR")
Normalizing scRNA-seq data with Sanity HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.1.0
In Bioconductor since BioC 3.22 (R-4.5) (< 6 months)
License GPL (>= 3)
Depends
System Requirements
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), scater, Rtsne
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SanityR_1.1.0.tar.gz
Windows Binary (x86_64) SanityR_1.1.0.zip (64-bit only)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/SanityR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SanityR
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