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
DESCRIPTION |NEWS
card.svg |card.png
Banksy/json (API)

# 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

9.54 score 154 stars 698 scripts 10 exports 101 dependencies

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

TargetResultTimeFilesSyslog
bioc-checksWARNING294
linux-devel-x86_64NOTE513
source / vignettesOK618
linux-release-x86_64NOTE455
macos-release-arm64NOTE323
macos-oldrel-arm64NOTE197
windows-develNOTE571
windows-releaseNOTE609
windows-oldrelNOTE582
wasm-releaseOK290

Exports:clusterBanksyclusterNamescompareClusterscomputeBanksyconnectClustersgetBanksyMatrixrunBanksyPCArunBanksyUMAPsimulateDatasetsmoothLabels

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

Spatial data integration with Harmony (10x Visium Human DLPFC)
Loading the data | Data preprocessing | Running BANKSY | Run Harmony on BANKSY's embedding | Session information

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

Domain segmentation (STARmap PLUS mouse brain)
Data preprocessing | Running BANKSY | Session information

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

Multi-sample analysis (10x Visium Human DLPFC)
Loading the data | Data preprocessing | Running BANKSY | Parsing BANKSY output | Session information

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

Parameter selection (VeraFISH Mouse Hippocampus)
Loading the data | Parameters | AGF usage | k-geometric | lambda | Clustering parameters | Comparing cluster results | Session information

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