top_var: select top variable genes
In IMB-Computational-Genomics-Lab/scGPS: A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)
Description
Usage
Arguments
Value
Examples
Description
subset a matrix by top variable genes
Usage
1
Arguments
expression.matrix
is a matrix with genes in rows and cells in columns
ngenes
number of genes used for clustering calculations.
Value
a subsetted expression matrix with the top n most variable genes
Examples
1
2
3
4
day2 <- day_2_cardio_cell_sample
mixedpop1 <-new_scGPS_object(ExpressionMatrix = day2$dat2_counts,
GeneMetadata = day2$dat2geneInfo, CellMetadata = day2$dat2_clusters)
SortedExprsMat <-top_var(expression.matrix=assay(mixedpop1))
IMB-Computational-Genomics-Lab/scGPS documentation built on Dec. 6, 2020, 3:20 p.m.
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Description Usage Arguments Value Examples
Description
subset a matrix by top variable genes
Usage
1 |
Arguments
expression.matrix |
is a matrix with genes in rows and cells in columns |
ngenes |
number of genes used for clustering calculations. |
Value
a subsetted expression matrix with the top n most variable genes
Examples
1 2 3 4 | day2 <- day_2_cardio_cell_sample
mixedpop1 <-new_scGPS_object(ExpressionMatrix = day2$dat2_counts,
GeneMetadata = day2$dat2geneInfo, CellMetadata = day2$dat2_clusters)
SortedExprsMat <-top_var(expression.matrix=assay(mixedpop1))
|
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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