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SpatialDDLS  

Deconvolution of Spatial Transcriptomics Data Based on Neural Networks
View on CRAN: Click here


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
[Scholar Profile | Author Map]
All associated links for this package
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.
Previous versions and publish date:
0.1.0 (2023-05-07 12:20), 1.0.0 (2023-12-06 11:00), 1.0.1 (2024-03-15 23:30), 1.0.2 (2024-04-26 18:10)
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Functions, R codes and Examples using the SpatialDDLS R package
Full SpatialDDLS package functions and examples
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