https://github.com/sysbiochalmers/dsave-r

R Package DSAVE (Down-SAmpling based Variation Estimation). The package operates on single-cell RNA-Seq data and is useful for finding misclassified cells, comparing the outcome of clustering methods, figuring out minimum clustering sizes to get the same variation as for bulk, and comparing the technical variation across datasets. The package is compatible with Seurat.
https://github.com/sysbiochalmers/dsave-r

Last synced: over 1 year ago
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R Package DSAVE (Down-SAmpling based Variation Estimation). The package operates on single-cell RNA-Seq data and is useful for finding misclassified cells, comparing the outcome of clustering methods, figuring out minimum clustering sizes to get the same variation as for bulk, and comparing the technical variation across datasets. The package is compatible with Seurat.

• Host: GitHub
• URL: https://github.com/sysbiochalmers/dsave-r
• Owner: SysBioChalmers
• License: mit
• Created: 2019-03-27T16:27:53.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-10-19T07:03:25.000Z (over 4 years ago)
• Last Synced: 2025-01-30T22:51:16.607Z (over 1 year ago)
• Language: R
• Homepage:
• Size: 42.5 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# DSAVE (Down-SAmpling based Variation Estimation)

![](https://github.com/sysbiochalmers/DSAVE-R/workflows/Build%20vignette%20and%20package/badge.svg)

Installation:

1. Install and load devtools:

install.packages("devtools")

library(devtools)

2. Install from GitHub:

install_github("SysBioChalmers/DSAVE-R")

The vignette can be found [here](https://sysbiochalmers.github.io/DSAVE-R/)

Link to the paper in which DSAVE is described (and for citation): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243360