Bioc2026 Registration Open!

jazzPanda

Finding spatially relevant marker genes in image based spatial transcriptomics data

Bioconductor version: 3.23 · Package version: 1.4.0

This package contains the function to find marker genes for image-based spatial transcriptomics data. There are functions to create spatial vectors from the cell and transcript coordiantes, which are passed as inputs to find marker genes. Marker genes are detected for every cluster by two approaches. The first approach is by permtuation testing, which is implmented in parallel for finding marker genes for one sample study. The other approach is to build a linear model for every gene. This approach can account for multiple samples and backgound noise.

Installation

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

BiocManager::install("jazzPanda")

Details

MaintainerMelody Jin <jin.m@wehi.edu.au>
AuthorMelody Jin [aut, cre] (ORCID: <https://orcid.org/0000-0002-2222-0958>)
LicenseGPL-3
URLhttps://github.com/phipsonlab/jazzPanda, https://bhuvad.github.io/jazzPanda/
Bug Reportshttps://github.com/phipsonlab/jazzPanda/issues
Downloads rank185
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, Software, Spatial, StatisticalMethod, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.5.0)

Imports: spatstat.geom, dplyr, glmnet, caret, foreach, stats, magrittr, doParallel, BiocParallel, methods, BumpyMatrix, SpatialExperiment

Suggests: BiocStyle, knitr, rmarkdown, spatstat, Seurat, statmod, corrplot, ggplot2, ggraph, ggrepel, gridExtra, reshape2, igraph, jsonlite, vdiffr, patchwork, ggpubr, tidyr, SpatialFeatureExperiment, ExperimentHub, TENxXeniumData, SingleCellExperiment, SFEData, Matrix, data.table, scran, scater, grid, GenomeInfoDb, testthat (>= 3.0.0)