Package: SubcellularSpatialData 1.9.0

Dharmesh D. Bhuva

SubcellularSpatialData: Annotated spatial transcriptomics datasets from 10x Xenium, NanoString CosMx and BGI STOmics.

This is a data package that hosts annotated sub-cellular localised datasets from the STOmics, Xenium and CosMx platforms. Specifically, it hosts datasets analysed in the publication Bhuva et. al, 2024 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.

Authors:Dharmesh D. Bhuva [aut, cre]

SubcellularSpatialData_1.9.0.tar.gz
SubcellularSpatialData_1.9.0.tar.gz(r-4.7-any)SubcellularSpatialData_1.9.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SubcellularSpatialData/json (API)

# Install 'SubcellularSpatialData' in R:
install.packages('SubcellularSpatialData', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/davislaboratory/subcellularspatialdata/issues

Datasets:
  • tx_small - Sample annotated sub-cellular localised spatial 'omics dataset

On BioConductor:SubcellularSpatialData-1.9.0(data/experiment 3.24)SubcellularSpatialData-1.8.0(data/experiment 3.23)

experimenthubspatialdatahomo_sapiens_datamus_musculus_datalungcancerdatadatapkg

3.53 score 2 stars 17 scripts 1 exports 58 dependencies

Last updated from:7a2f671d3e. Checks:1 NOTE, 2 WARNING, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE258
linux-develWARNING203
source / vignettesERROR386
linux-releaseWARNING348

Exports:tx2spe

Dependencies:abindaskpassBiobaseBiocFileCacheBiocGenericsbitbit64blobcachemclicpp11curlDBIdbplyrDelayedArraydplyrfastmapfilelockgenericsGenomicRangesgluehexbinhttr2IRangeslatticelifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmemoiseopensslpillarpkgconfigpurrrR6RcpprjsonrlangRSQLiteS4ArraysS4VectorsSeqinfoSingleCellExperimentSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrswithrXVector