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digitalDLSorteR  

Deconvolution of Bulk RNA-Seq Data Based on Deep Learning
View on CRAN: Click here


Download and install digitalDLSorteR package within the R console
Install from CRAN:
install.packages("digitalDLSorteR")

Install from Github:
library("remotes")
install_github("cran/digitalDLSorteR")

Install by package version:
library("remotes")
install_version("digitalDLSorteR", "1.0.1")



Attach the package and use:
library("digitalDLSorteR")
Maintained by
Diego Mañanes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-08
Latest Update: 2022-10-05
Description:
Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) for more details.
How to cite:
Diego Mañanes (2021). digitalDLSorteR: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning. R package version 1.0.1, https://cran.r-project.org/web/packages/digitalDLSorteR
Previous versions and publish date:
0.1.0 (2021-10-08 11:50), 0.1.1 (2021-10-20 01:00), 0.2.0 (2022-03-10 11:10), 0.3.0 (2022-05-24 10:30), 0.3.1 (2022-10-05 10:40)
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