NormCells: Normalize protein matrix by dividing out total counts per...
In CamaraLab/STvEA: Spatially-resolved Transcriptomics via Epitope Anchoring
View source: R/data_processing.R
NormCells R Documentation
Normalize protein matrix by dividing out total counts per cell,
accounting for cells with no counts by keeping them 0
Usually to_norm and norm_by will be the same count matrix,
but sometimes we want to normalize processed data by raw
Description
Normalize protein matrix by dividing out total counts per cell,
accounting for cells with no counts by keeping them 0
Usually to_norm and norm_by will be the same count matrix,
but sometimes we want to normalize processed data by raw
Usage
NormCells(to_norm, norm_by = to_norm)
Arguments
to_norm
a (cells x proteins) matrix
norm_by
a (cells x proteins) matrix
CamaraLab/STvEA documentation built on April 2, 2024, 6:07 a.m.
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View source: R/data_processing.R
| NormCells | R Documentation |
Normalize protein matrix by dividing out total counts per cell, accounting for cells with no counts by keeping them 0 Usually to_norm and norm_by will be the same count matrix, but sometimes we want to normalize processed data by raw
Description
Normalize protein matrix by dividing out total counts per cell, accounting for cells with no counts by keeping them 0 Usually to_norm and norm_by will be the same count matrix, but sometimes we want to normalize processed data by raw
Usage
NormCells(to_norm, norm_by = to_norm)
Arguments
to_norm |
a (cells x proteins) matrix |
norm_by |
a (cells x proteins) matrix |
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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