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spoon

Address the Mean-variance Relationship in Spatial Transcriptomics Data

Bioconductor version: 3.23 · Package version: 1.8.0

This package addresses the mean-variance relationship in spatially resolved transcriptomics data. Precision weights are generated for individual observations using Empirical Bayes techniques. These weights are used to rescale the data and covariates, which are then used as input in spatially variable gene detection tools.

Installation

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

BiocManager::install("spoon")

Details

MaintainerKinnary Shah <kinnaryshahh@gmail.com>
AuthorKinnary Shah [aut, cre] (ORCID: <https://orcid.org/0000-0001-7098-2116>), Boyi Guo [aut] (ORCID: <https://orcid.org/0000-0003-2950-2349>), Stephanie C. Hicks [aut] (ORCID: <https://orcid.org/0000-0002-7858-0231>)
LicenseMIT + file LICENSE
URLhttps://github.com/kinnaryshah/spoon
Bug Reportshttps://github.com/kinnaryshah/spoon/issues
Downloads rank171
Source branchRELEASE_3_23
biocViewsGeneExpression, Preprocessing, SingleCell, Software, Spatial, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 4.4)

Imports: SpatialExperiment, BRISC, nnSVG, BiocParallel, Matrix, methods, SummarizedExperiment, stats, utils, scuttle

Suggests: testthat, STexampleData, knitr, rmarkdown, BiocStyle