Banksy
Spatial transcriptomic clustering
Bioconductor version: 3.23 · Package version: 1.8.1
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Banksy") Details
| Maintainer | Joseph Lee <joseph.lee@u.nus.edu> |
| Author | Vipul Singhal [aut], Joseph Lee [aut, cre] (ORCID: <https://orcid.org/0000-0002-4983-4714>) |
| License | file LICENSE |
| URL | https://github.com/prabhakarlab/Banksy |
| Bug Reports | https://github.com/prabhakarlab/Banksy/issues |
| Downloads rank | 643 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, DimensionReduction, GeneExpression, SingleCell, Software, Spatial |
Documentation
- Domain segmentation (STARmap PLUS mouse brain)
- Multi-sample analysis (10x Visium Human DLPFC)
- Parameter selection (VeraFISH Mouse Hippocampus)
- Spatial data integration with Harmony (10x Visium Human DLPFC)
Download
Dependencies
Depends: R (>= 4.4.0)
Imports: aricode, BiocParallel, data.table, dbscan, SpatialExperiment, SingleCellExperiment, SummarizedExperiment, S4Vectors, stats, Matrix, MatrixGenerics, mclust, igraph, irlba, leidenAlg (>= 1.1.0), utils, uwot, RcppHungarian, GenomeInfoDb
Suggests: knitr, rmarkdown, pals, scuttle, scater, scran, cowplot, ggplot2, testthat (>= 3.0.0), harmony, Seurat, ExperimentHub, spatialLIBD, BiocStyle