Bioconductor 3.22 Released

singIST

This is the development version of singIST; to use it, please install the devel version of Bioconductor.

comparative single-cell transcriptomics between disease models and a human condition


Bioconductor version: Development (3.23)

Provides with toolkits to implement a full singIST analysis with pseudobulked Seurat objects of disease models and human data.

Author: Aitor Moruno-Cuenca [aut, cre] ORCID iD ORCID: 0009-0009-8133-2552 , Dr. Sergio Picart-Armada [rev] ORCID iD ORCID: 0000-0002-6426-8204 , Dr. Alexandre Perera-Lluna [ths] ORCID iD ORCID: 0000-0001-6427-851X , Dr. Francesc Fernández-Albert [ths] ORCID iD ORCID: 0000-0001-5561-0701

Maintainer: Aitor Moruno-Cuenca <morunoaitor at gmail.com>

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

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("singIST")

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("singIST")
singIST Vignette HTML R Script
Reference Manual PDF

Details

biocViews Classification, SingleCell, Software, Transcriptomics
Version 0.99.85
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports msigdb, GSEABase, checkmate, stats, asmbPLS, BiocParallel, stringr, FactoMineR, Seurat, SeuratObject, biomaRt, data.table, purrr, SingleCellExperiment, SummarizedExperiment, scran, scuttle, missMDA, S4Vectors
System Requirements
URL https://github.com/DataScienceRD-Almirall/singIST
Bug Reports https://github.com/DataScienceRD-Almirall/singIST/issues
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, qpdf, utils, RcppAlgos, glmGamPoi, methods, sp
Linking To
Enhances
Depends On Me
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Build Report Build Report

Package Archives

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

Source Package singIST_0.99.85.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/singIST
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/singIST
Bioc Package Browser https://code.bioconductor.org/browse/singIST/
Package Short Url https://bioconductor.org/packages/singIST/
Package Downloads Report Download Stats