Other packages > Find by keyword >

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 06 Jan. 2025.
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)
Other packages that cited SpatialDDLS R package
View SpatialDDLS citation profile
Other R packages that SpatialDDLS depends, imports, suggests or enhances
Complete documentation for SpatialDDLS
Functions, R codes and Examples using the SpatialDDLS R package
Full SpatialDDLS package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ROI.plugin.deoptim  
'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Enhances the R Optimization Infrastructure ('ROI') package with the 'DEoptim' and 'DEoptimR' packag ...
Download / Learn more Package Citations See dependency  
TBFmultinomial  
TBF Methodology Extension for Multinomial Outcomes
Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete ...
Download / Learn more Package Citations See dependency  
RsqMed  
Total Mediation Effect Size Measure for High-Dimensional Mediators
An implementation of calculating the R-squared measure as a total mediation effect size measure and ...
Download / Learn more Package Citations See dependency  
mlr3fairness  
Fairness Auditing and Debiasing for 'mlr3'
Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes ...
Download / Learn more Package Citations See dependency  
NetSwan  
Network Strengths and Weaknesses Analysis
A set of functions for studying network robustness, resilience and vulnerability. ...
Download / Learn more Package Citations See dependency  
lmds  
Landmark Multi-Dimensional Scaling
A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dime ...
Download / Learn more Package Citations See dependency  

23,440

R Packages

202,297

Dependencies

63,567

Author Associations

23,434

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA