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scDHA  

Single-Cell Decomposition using Hierarchical Autoencoder
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scDHA", "1.2.2")



Attach the package and use:
library("scDHA")
Maintained by
Ha Nguyen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-09
Latest Update: 2023-04-04
Description:
Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) ).
How to cite:
Ha Nguyen (2021). scDHA: Single-Cell Decomposition using Hierarchical Autoencoder. R package version 1.2.2, https://cran.r-project.org/web/packages/scDHA. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.1.0 (2021-06-09 09:20), 1.1.1 (2021-06-11 00:00), 1.1.2 (2021-09-15 22:20), 1.2.0 (2022-08-18 22:40), 1.2.1 (2023-04-04 14:10)
Other packages that cited scDHA R package
View scDHA citation profile
Other R packages that scDHA depends, imports, suggests or enhances
Complete documentation for scDHA
Functions, R codes and Examples using the scDHA R package
Some associated functions: Goolam . Goolam_result . scDHA.class . scDHA . scDHA.pt . scDHA.vis . 
Some associated R codes: Analysis.R . PG.R . RcppExports.R . SC.R . Support.R . TorchSupport.R . scDHA.R . wMetaC.R .  Full scDHA package functions and examples
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