Package: Banksy 1.9.1

Joseph Lee

Banksy: Spatial transcriptomic clustering

Banksy is an R package that incorporates spatial information to cluster cells in a feature space (e.g. gene expression). To incorporate spatial information, BANKSY computes the mean neighborhood expression and azimuthal Gabor filters that capture gene expression gradients. These features are combined with the cell's own expression to embed cells in a neighbor-augmented product space which can then be clustered, allowing for accurate and spatially-aware cell typing and tissue domain segmentation.

Authors:Vipul Singhal [aut], Joseph Lee [aut, cre]

Banksy_1.9.1.tar.gz
Banksy_1.9.1.zip(r-4.7)Banksy_1.9.1.zip(r-4.6)Banksy_1.9.1.zip(r-4.5)
Banksy_1.9.1.tgz(r-4.6-any)Banksy_1.9.1.tgz(r-4.5-any)
Banksy_1.9.1.tar.gz(r-4.7-any)Banksy_1.9.1.tar.gz(r-4.6-any)
Banksy_1.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
Banksy/json (API)
NEWS

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

Bug tracker:https://github.com/prabhakarlab/banksy/issues

Datasets:
  • hippocampus - Mouse Hippocampus VeraFISH data
  • rings - An unrealistic simulation of spatially-resolved omics data.

On BioConductor:Banksy-1.9.1(bioc 3.24)Banksy-1.8.1(bioc 3.23)

clusteringspatialsinglecellgeneexpressiondimensionreductionclustering-algorithmsingle-cell-omicsspatial-omics

9.46 score 148 stars 404 scripts 828 downloads 10 exports 101 dependencies

Last updated from:5157d9cf80. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING260
linux-devel-x86_64NOTE434
source / vignettesOK606
linux-release-x86_64NOTE469
macos-release-arm64NOTE296
macos-oldrel-arm64NOTE251
windows-develNOTE599
windows-releaseNOTE605
windows-oldrelNOTE595
wasm-releaseOK229

Exports:clusterBanksyclusterNamescompareClusterscomputeBanksyconnectClustersgetBanksyMatrixrunBanksyPCArunBanksyUMAPsimulateDatasetsmoothLabels

Dependencies:abindaricodeaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobcachemclicodetoolscpp11curldata.tableDBIdbplyrdbscanDelayedArraydplyrdqrngfarverfastmapfilelockFNNformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicRangesggplot2ggrepelgluegtablehttrhttr2igraphIRangesirlbaisobandjsonlitelabelinglambda.rlatticeleidenAlglifecyclemagickmagrittrMatrixMatrixGenericsmatrixStatsmclustmemoisemimeopensslpbmcapplypillarpkgconfigpROCpurrrR6rappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHungarianRcppProgressrjsonrlangRSpectraRSQLiteS4ArraysS4VectorsS7scalessccoreSeqinfoSingleCellExperimentsitmosnowSparseArraySpatialExperimentstringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8uwotvctrsviridisLitewithrXVector

Domain segmentation (STARmap PLUS mouse brain)

Rendered fromdomain-segment.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2025-03-04
Started: 2023-08-29

Multi-sample analysis (10x Visium Human DLPFC)

Rendered frommulti-sample.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2025-03-04
Started: 2023-07-25

Parameter selection (VeraFISH Mouse Hippocampus)

Rendered fromparameter-selection.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2025-03-04
Started: 2023-07-25

Spatial data integration with Harmony (10x Visium Human DLPFC)

Rendered frombatch-correction.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-05-02
Started: 2023-08-30