flattenPB: flattenPB
In plger/SEtools: SEtools: tools for working with SummarizedExperiment
flattenPB R Documentation
flattenPB
Description
Flattens a pseudo-bulk SummarizedExperiment as produced by
'muscat::aggregateData' so that all cell types are represented in a single
assay. Optionally normalizes the data and calculates per-sample logFCs.
Usage
flattenPB(pb, norm = TRUE, lfc_group = NULL)
Arguments
pb
a pseudo-bulk SummarizedExperiment as produced by
'muscat::aggregateData', with different celltypes/clusters are assays.
norm
Logical; whether to calculate logcpm (TMM normalization).
lfc_group
the colData column to use to calculate foldchange. If
NULL (default), no foldchange assay will be computed.
Value
A SummarizedExperiment
plger/SEtools documentation built on Dec. 2, 2022, 3:58 p.m.
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| flattenPB | R Documentation |
flattenPB
Description
Flattens a pseudo-bulk SummarizedExperiment as produced by 'muscat::aggregateData' so that all cell types are represented in a single assay. Optionally normalizes the data and calculates per-sample logFCs.
Usage
flattenPB(pb, norm = TRUE, lfc_group = NULL)
Arguments
pb |
a pseudo-bulk SummarizedExperiment as produced by 'muscat::aggregateData', with different celltypes/clusters are assays. |
norm |
Logical; whether to calculate logcpm (TMM normalization). |
lfc_group |
the colData column to use to calculate foldchange. If NULL (default), no foldchange assay will be computed. |
Value
A SummarizedExperiment
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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