slalom
This is the development version of slalom; for the stable release version, see slalom.
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data
Bioconductor version: Development (3.18)
slalom is a scalable modelling framework for single-cell RNA-seq data that uses gene set annotations to dissect single-cell transcriptome heterogeneity, thereby allowing to identify biological drivers of cell-to-cell variability and model confounding factors. The method uses Bayesian factor analysis with a latent variable model to identify active pathways (selected by the user, e.g. KEGG pathways) that explain variation in a single-cell RNA-seq dataset. This an R/C++ implementation of the f-scLVM Python package. See the publication describing the method at https://doi.org/10.1186/s13059-017-1334-8.
Author: Florian Buettner [aut], Naruemon Pratanwanich [aut], Davis McCarthy [aut, cre], John Marioni [aut], Oliver Stegle [aut]
Maintainer: Davis McCarthy <davis at ebi.ac.uk>
citation("slalom")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("slalom")
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("slalom")
Introduction to slalom | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DimensionReduction, GeneExpression, ImmunoOncology, KEGG, Normalization, RNASeq, Reactome, Sequencing, SingleCell, Software, Transcriptomics, Visualization |
Version | 1.23.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (6 years) |
License | GPL-2 |
Depends | R (>= 4.0) |
Imports | Rcpp (>= 0.12.8), RcppArmadillo, BH, ggplot2, grid, GSEABase, methods, rsvd, SingleCellExperiment, SummarizedExperiment, stats |
Linking To | Rcpp, RcppArmadillo, BH |
Suggests | BiocStyle, knitr, rhdf5, rmarkdown, scater, testthat |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | slalom_1.23.0.tar.gz |
Windows Binary | slalom_1.23.0.zip |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/slalom |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/slalom |
Bioc Package Browser | https://code.bioconductor.org/browse/slalom/ |
Package Short Url | https://bioconductor.org/packages/slalom/ |
Package Downloads Report | Download Stats |