Grun.counts.hvg: Gene expression count matrix of Grun
In keyalone/scDEA: Performing differential expression analysis in single cell RNA sequencing data via ensemble learning
Description
Usage
Format
Examples
Description
We obtain the preprocessing Grun data from Soneson. Two group cell types, WG and YPS, are
selected to perform DE analysis. To demonstrate the effectiveness of the scDEA, We use the function FindVariableFeatures in Seurat R package
to select 2000 highly variable genes. In this study, the Grun data contains 2000 genes, 338 cells of WG and
378 cells of YPS.
Usage
1
Format
a large matrix
Examples
1
keyalone/scDEA documentation built on Dec. 21, 2021, 6:36 a.m.
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Description Usage Format Examples
Description
We obtain the preprocessing Grun data from Soneson. Two group cell types, WG and YPS, are selected to perform DE analysis. To demonstrate the effectiveness of the scDEA, We use the function FindVariableFeatures in Seurat R package to select 2000 highly variable genes. In this study, the Grun data contains 2000 genes, 338 cells of WG and 378 cells of YPS.
Usage
1 |
Format
a large matrix
Examples
1 |
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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