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dawnn  

Differential Abundance with Neural Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dawnn", "2.2.0")



Attach the package and use:
library("dawnn")
Maintained by
George Hall
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-01
Latest Update: 2026-09-01
Description:
Detects regions of differential abundance in single-cell transcriptomic data by applying a pre-trained neural network model to the labels of each cell's nearest neighbours. Tests for both local and global differential abundance, controlling the false discovery rate with the Benjamini-Yekutieli procedure. The method is described in Hall and Castellano (2023) <doi:10.1101/2023.05.05.539427>.
How to cite:
George Hall (2026). dawnn: Differential Abundance with Neural Networks. R package version 2.2.0, https://cran.r-project.org/web/packages/dawnn. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-09-07 20:30), 2.1.1 (2026-09-01 10:40)
Other packages that cited dawnn R package
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Complete documentation for dawnn
Functions, R codes and Examples using the dawnn R package
Full dawnn package functions and examples
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