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SpatialDDLS
View on CRAN: Click
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Download and install SpatialDDLS package within the R console
Install from CRAN:
install.packages("SpatialDDLS")
Install from Github:
library("remotes")
install_github("cran/SpatialDDLS")
Install by package version:
library("remotes")
install_version("SpatialDDLS", "1.0.3")
Attach the package and use:
library("SpatialDDLS")
Maintained by
Diego Mañanes
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[Scholar Profile | Author Map]
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First Published: 2023-05-07
Latest Update: 2023-12-06
Description:
Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2024) <doi:10.1093/bioinformatics/btae072> to get an overview of the method and see some examples of its performance.
How to cite:
Diego Mañanes (2023). SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks. R package version 1.0.3, https://cran.r-project.org/web/packages/SpatialDDLS. Accessed 21 Nov. 2024.
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