processMarkers: processMarkers
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
Author(s)
Description
Helper function for plotCountsMarkers and plotUnsupervisedMarkers. Normalizes
values in the [0, 1] interval, gathers and returns the data in the expected
format.
Usage
1
processMarkers(counts.log, markers, normalize = TRUE)
Arguments
counts.log
matrix; A matrix containing log2(cpm).
markers
character; The markers to process. Must be present in
rownames(counts.log).
normalize
logical, Normalize values to interval [0, 1]?
Author(s)
Jason T. Serviss
jasonserviss/CIMseq documentation built on Jan. 11, 2020, 4:42 a.m.
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Description Usage Arguments Author(s)
Description
Helper function for plotCountsMarkers and plotUnsupervisedMarkers. Normalizes values in the [0, 1] interval, gathers and returns the data in the expected format.
Usage
1 | processMarkers(counts.log, markers, normalize = TRUE)
|
Arguments
counts.log |
matrix; A matrix containing log2(cpm). |
markers |
character; The markers to process. Must be present in rownames(counts.log). |
normalize |
logical, Normalize values to interval [0, 1]? |
Author(s)
Jason T. Serviss
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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