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StabMap

Stabilised mosaic single cell data integration using unshared features

Bioconductor version: 3.23 · Package version: 1.6.0

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.

Installation

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

BiocManager::install("StabMap")

Details

MaintainerShila Ghazanfar <shazanfar@gmail.com>
AuthorShila Ghazanfar [aut, cre, ctb], Aiden Jin [ctb], Nicholas Robertson [ctb]
LicenseGPL-2
URLhttps://sydneybiox.github.io/StabMap, https://sydneybiox.github.io/StabMap/
Bug Reportshttps://github.com/sydneybiox/StabMap/issues
Downloads rank184
Source branchRELEASE_3_23
biocViewsDimensionReduction, SingleCell, Software

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: igraph, slam, BiocNeighbors, Matrix, MASS, abind, SummarizedExperiment, methods, MatrixGenerics, BiocGenerics, BiocSingular, BiocParallel

Suggests: scran, scater, knitr, UpSetR, gridExtra, SingleCellMultiModal, BiocStyle, magrittr, testthat (>= 3.0.0), purrr, sparseMatrixStats