DSAVE: DSAVE
In SysBioChalmers/DSAVE-R: DSAVE: Tools to Investigate Variation and Purity of Subpopulations in Single-Cell RNA-Seq Data
Description
Dissecting Cell-to-Cell Variation in Single-Cell RNA-Seq Data
Details
R Package DSAVE, Down-SAmpling based Variation Estimation. The package is useful for comparing the variation in single-cell RNA-Seq data
that does not originate from sampling, defined as BTM variation, between cell populations. The package supports
comparing variation across datasets and can be used as a quality metric, where the variation can be compared
to that of other datasets from similar conditions.
Author(s)
Johan Gustafsson, <johan.gson@gmail.com>, Juan Inda, <inda@chalmers.se>
SysBioChalmers/DSAVE-R documentation built on Oct. 19, 2021, 11:37 p.m.
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Description
Dissecting Cell-to-Cell Variation in Single-Cell RNA-Seq Data
Details
R Package DSAVE, Down-SAmpling based Variation Estimation. The package is useful for comparing the variation in single-cell RNA-Seq data that does not originate from sampling, defined as BTM variation, between cell populations. The package supports comparing variation across datasets and can be used as a quality metric, where the variation can be compared to that of other datasets from similar conditions.
Author(s)
Johan Gustafsson, <johan.gson@gmail.com>, Juan Inda, <inda@chalmers.se>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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