Package: jazzPanda Type: Package Title: Finding spatially relevant marker genes in image based spatial transcriptomics data Version: 1.5.0 Date: 2025-10-14 Authors@R: c(person(given = "Melody", family = "Jin", role = c("aut", "cre"), email = "jin.m@wehi.edu.au", comment=c(ORCID="0000-0002-2222-0958")) ) LazyData: FALSE Depends: R (>= 4.5.0) Imports: spatstat.geom, dplyr, glmnet, caret, foreach, stats, magrittr, doParallel, BiocParallel, methods, BumpyMatrix,SpatialExperiment VignetteBuilder: knitr 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) Description: 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. License: GPL-3 URL: https://github.com/phipsonlab/jazzPanda, https://bhuvad.github.io/jazzPanda/ BugReports: https://github.com/phipsonlab/jazzPanda/issues biocViews: Spatial, GeneExpression, DifferentialExpression, StatisticalMethod, Transcriptomics RoxygenNote: 7.3.2 Encoding: UTF-8 Config/testthat/edition: 3 Config/pak/sysreqs: libmagick++-dev gsfonts libicu-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 13:04:34 UTC RemoteUrl: https://github.com/bioc/jazzPanda RemoteRef: HEAD RemoteSha: 91c746f4175bcd3e027fb47d05f4e2a785f28cfe NeedsCompilation: no Packaged: 2026-07-03 22:00:37 UTC; root Author: Melody Jin [aut, cre] (ORCID: ) Maintainer: Melody Jin