bioc-issue-bot
commented
4 months ago Hi @bhuvad
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: SubcellularSpatialData
Title: Annotated spatial transcriptomics datasets from 10x Xenium, NanoString CosMx and BGI STOmics.
Version: 0.99.10
Authors@R: c(
person(given = "Dharmesh D.",
family = "Bhuva",
role = c("aut", "cre"),
email = "dharmesh.bhuva@adelaide.edu.au",
comment = c(ORCID = "0000-0002-6398-9157"))
)
Description: This is a data package that hosts annotated sub-cellular localised datasets from the Visium, Xenium and CosMx platforms. Specifically, it hosts datasets analysed in the publication Bhuva et. al, 2023 titled "Library size confounds biology in spatial transcriptomics data". Raw transcript detections are hosted and functions to convert them to SpatialExperiment objects have been implemented.
biocViews: ExperimentHub, SpatialData, Homo_sapiens_Data, Mus_musculus_Data, LungCancerData
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
URL: https://davislaboratory.github.io/SubcellularSpatialData
BugReports: https://github.com/DavisLaboratory/SubcellularSpatialData/issues
Imports:
dplyr,
hexbin,
Matrix,
SpatialExperiment,
stats
NeedsCompilation: no
VignetteBuilder: knitr
Suggests:
ExperimentHub,
ggplot2,
knitr,
rmarkdown,
testthat (>= 3.0.0)
Depends:
R (>= 2.10)
LazyData: true
Config/testthat/edition: 3
lshep
bhuvad
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