selectTopMax: selectTopMax
In jasonserviss/CIMseq: CIMseq is a software suite for analysis of scRNAseq data that has been produced using the cellular interactions by multiplet sequencing method
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Facilitates gene selection prior to unsupervised clustering.
Usage
1
selectTopMax(cpm, n)
Arguments
cpm
matrix; Counts per million.
n
Number of genes to select. If n > dim(data)[1] all data is returned.
Details
Returns the index for the n genes (rows) with the maximum
expression in the spCounts object. The expression matrix in
the counts.cpm slot is used for the calculation.
Value
A numeric vector containing the indices of selected genes.
Author(s)
Jason T. Serviss
Examples
1
s <- selectTopMax(getData(CIMseqSinglets_test, "counts.cpm"), 10)
jasonserviss/CIMseq documentation built on Jan. 11, 2020, 4:42 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Facilitates gene selection prior to unsupervised clustering.
Usage
1 | selectTopMax(cpm, n)
|
Arguments
cpm |
matrix; Counts per million. |
n |
Number of genes to select. If n > dim(data)[1] all data is returned. |
Details
Returns the index for the n genes (rows) with the maximum expression in the spCounts object. The expression matrix in the counts.cpm slot is used for the calculation.
Value
A numeric vector containing the indices of selected genes.
Author(s)
Jason T. Serviss
Examples
1 | s <- selectTopMax(getData(CIMseqSinglets_test, "counts.cpm"), 10)
|
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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