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StabMap

This is the released version of StabMap; for the devel version, see StabMap.

Stabilised mosaic single cell data integration using unshared features


Bioconductor version: Release (3.22)

StabMap performs single cell mosaic data integration by first building a mosaic data topology, and for each reference dataset, traverses the topology to project and predict data onto a common embedding. Mosaic data should be provided in a list format, with all relevant features included in the data matrices within each list object. The output of stabMap is a joint low-dimensional embedding taking into account all available relevant features. Expression imputation can also be performed using the StabMap embedding and any of the original data matrices for given reference and query cell lists.

Author: Shila Ghazanfar [aut, cre, ctb], Aiden Jin [ctb], Nicholas Robertson [ctb]

Maintainer: Shila Ghazanfar <shazanfar at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("StabMap")

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("StabMap")
Mosaic single cell data integration HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.4.0
In Bioconductor since BioC 3.20 (R-4.4) (1 year)
License GPL-2
Depends R (>= 4.4.0)
System Requirements
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Package Archives

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

Source Package StabMap_1.4.0.tar.gz
Windows Binary (x86_64) StabMap_1.3.0.zip (64-bit only)
macOS Binary (x86_64) StabMap_1.4.0.tgz
macOS Binary (arm64) StabMap_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/StabMap
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/StabMap
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