small_5050_mix: A random subset of genes and cells from a 50:50 mixture of...
In jspaezp/sctree: Tree based analysis of single rna-seq clusters
Description
Usage
Format
Details
Description
The dataset is a fully processed Seurat object of the mixture sub-sampled
data set by the standard Seurat procedure, therefore should contain all
normal fields expected from a Seurat object, sucha as identities, pca and
tsne dimensions.
Usage
1
Format
A Seurat object with 840 genes and 384 cells:
- 1031 genes
- 255 cells
...
Details
Note that the subsampling was done such that variable genes were preserved
form the original dataset and 500 more were chosen randomly
jspaezp/sctree documentation built on April 30, 2020, 10:36 p.m.
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Description Usage Format Details
Description
The dataset is a fully processed Seurat object of the mixture sub-sampled data set by the standard Seurat procedure, therefore should contain all normal fields expected from a Seurat object, sucha as identities, pca and tsne dimensions.
Usage
1 |
Format
A Seurat object with 840 genes and 384 cells:
- 1031 genes
- 255 cells
...
Details
Note that the subsampling was done such that variable genes were preserved form the original dataset and 500 more were chosen randomly
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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