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- BANKSY is an algorithm with R and Python implementations that identifies both cell types and tissue domains from spatially resolved omics data by incorporating spatial kernels capturing microenvironmental information. It is applicable to a range of technologies and is scalable to millions of cells.Learn more:BANKSY is an algorithm with R and Python implementations that identifies both cell types and tissue domains from spatially resolved omics data by incorporating spatial kernels capturing microenvironmental information. It is applicable to a range of technologies and is scalable to millions of cells.pmc.ncbi.nlm.nih.gov/articles/PMC10937399/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.bioconductor.org/packages/release/bioc/manuals/B…BANKSY is a spatial omics clustering algorithm that unifies spatial cell type clustering and domain segmentation into a single scalable framework.www.a-star.edu.sg/gis/our-science/gis-software-for …BANKSY encodes the microenvironment of a cell using a pair of spatial kernels: one constructed using the weighted mean of gene expression in each cell’s neighbourhood, and the other using an azimuthal Gabor filter.www.nature.com/articles/s41576-024-00743-9BANKSY provides an accurate, biologically motivated, scalable and versatile framework for analyzing spatially resolved omics data, and revealed unexpected niche-dependent cell states in the mouse brain and outperformed competing methods on domain segmentation and cell typing benchmarks.www.semanticscholar.org/paper/BANKSY-unifies-c…
BANKSY unifies cell typing and tissue domain segmentation for …
Feb 27, 2024 · We have described BANKSY, a spatial clustering algorithm that unifies cell typing and tissue domain segmentation under a single, scalable machine-learning framework with …
BANKSY: A Spatial Omics Algorithm that Unifies Cell Type
Apr 15, 2022 · We present BANKSY, an algorithm that unifies cell type clustering and domain segmentation by constructing a product space of cell and neighbourhood transcriptomes, …
BANKSY: scalable cell typing and domain segmentation for …
May 15, 2024 · BANKSY encodes the microenvironment of a cell using a pair of spatial kernels: one constructed using the weighted mean of gene expression in each cell’s neighbourhood, …
Spatial transcriptomic clustering • Banksy - GitHub Pages
BANKSY is a method for clustering spatial omics data by augmenting the features of each cell with both an average of the features of its spatial neighbors along with neighborhood feature …
BANKSY unifies cell typing and tissue domain segmentation for …
BANKSY is an algorithm with R and Python implementations that identifies both cell types and tissue domains from spatially resolved omics data by incorporating spatial kernels capturing …
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 …
BANKSY unifies cell typing and tissue domain segmentation for …
BANKSY revealed unexpected niche-dependent cell states in the mouse brain and outperformed competing methods on domain segmentation and cell typing benchmarks. BANKSY can also …
BANKSY: A Spatial Omics Algorithm that Unifies Cell …
Jul 5, 2022 · We present BANKSY, an algorithm that unifies cell type clustering and domain segmentation by constructing a product space of cell and neighborhood transcriptomes, representing cell state and microenvironment, …
(PDF) BANKSY: A Spatial Omics Algorithm that …
Apr 15, 2022 · BANKSY’s spatial kernel-based feature augmentation strategy improves per-formance and scalability on both tasks when tested on FISH-based and sequencing-based spatial omics data. Uniquely,...
large datasets. BANKSY is 1–3 orders of magnitude faster than existing spatial methods and scales to >2 million cells with similar run times as state-of-the-art non-spatial clustering methods.
BANKSY - 13. Genome Institute of Singapore (GIS)
Apr 14, 2022 · BANKSY is a spatial omics clustering algorithm that unifies spatial cell type clustering and domain segmentation into a single scalable framework. It does this by utilizing …
Exploring cells’ community ties - A*STAR Research
Dec 20, 2024 · The BANKSY algorithm employs a neighbourhood kernel with a feature augmentation approach to analyse data from various spatial omics technologies, such as RNA …
BANKSY: scalable cell typing and domain segmentation for …
2 Spatial and Single Cell Systems Domain, Genome Institute of Singapore, Singapore, Republic of Singapore. PMID: 38750154 DOI: 10.1038/s41576-024-00743-9
To incorporate spatial information, BANKSY computes the mean neighborhood expression and azimuthal Gabor filters that capture gene expression gradients.
Domain segmentation (STARmap PLUS mouse brain) • Banksy
Here, we demonstrate BANKSY domain segmentation on a STARmap PLUS dataset of the mouse brain from Shi et al. (2022). Data from the study is available from the Single Cell Portal. …
BANKSY: a spatial omics algorithm ... | Article | H1 Connect
Apr 14, 2022 · The study proposes a new method called BANKSY for clustering spatial omics profiles. Given a cell by omic feature values matrix, the idea is to concatenate, for each cell, …
Cellular neighborhood analysis in spatial omics reveals new …
Feb 27, 2024 · In this issue, Singhal et al. 4 present BANKSY, a new spatial clustering algorithm that implements a creative feature-augmentation approach to better map domains by …
[PDF] BANKSY unifies cell typing and tissue domain …
Feb 27, 2024 · BANKSY revealed unexpected niche-dependent cell states in the mouse brain and outperformed competing methods on domain segmentation and cell typing benchmarks. …
[PDF] BANKSY: A Spatial Omics Algorithm that Unifies Cell Type ...
Apr 15, 2022 · BANKSY’s spatial kernel-based feature augmentation strategy improves per-formance and scalability on both tasks when tested on FISH-based and sequencing-based …
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