convert_to_cpm: Convert expression matrix to CPM (library size...
In gillislab/MetaMarkers: Extract robust markers from multiple datasets
Description
Usage
Arguments
Value
View source: R/normalization.R
Description
Convert expression matrix to CPM (library size normalization).
Usage
1
convert_to_cpm(M, scale_factor = 1e+06)
Arguments
M
Expression matrix (with genes as rows) in sparse or dense format.
scale_factor
Cell counts sum to this value after normalization
(1e6 by default).
Value
Matrix in same format as input.
gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.
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Description Usage Arguments Value
View source: R/normalization.R
Description
Convert expression matrix to CPM (library size normalization).
Usage
1 | convert_to_cpm(M, scale_factor = 1e+06)
|
Arguments
M |
Expression matrix (with genes as rows) in sparse or dense format. |
scale_factor |
Cell counts sum to this value after normalization (1e6 by default). |
Value
Matrix in same format as input.
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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