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scellpam  

Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scellpam", "1.4.6.2")



Attach the package and use:
library("scellpam")
Maintained by
Juan Domingo
[Scholar Profile | Author Map]
First Published: 2022-11-28
Latest Update: 2023-10-13
Description:
PAM (Partitioning Around Medoids) algorithm application to samples of single cell sequencing techniques with a high number of cells (as many as the computer memory allows). The package uses a binary format to store matrices (either full, sparse or symmetric) in files written in the disk that can contain any data type (not just double) which allows its manipulation when memory is sufficient to load them as int or float, but not as double. The PAM implementation is done in parallel, using several/all the cores of the machine, if it has them. This package shares a great part of its code with packages 'jmatrix' and 'parallelpam' but their functionality is included here so there is no need to install them.
How to cite:
Juan Domingo (2022). scellpam: Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells. R package version 1.4.6.2, https://cran.r-project.org/web/packages/scellpam. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.4.1 (2023-01-09 09:10), 1.4.4 (2023-06-24 20:30), 1.4.5 (2023-10-13 13:10), 1.4.6.1 (2024-07-03 14:30), 1.4 (2022-11-28 11:10)
Other packages that cited scellpam R package
View scellpam citation profile
Other R packages that scellpam depends, imports, suggests or enhances
Complete documentation for scellpam
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