dCell.expProcessing: Pre-process RNASeq based expression data....
In raguirreg/DeconCell: DeconCell
Description
Usage
Arguments
Value
Examples
View source: R/dCell_functions.R
Description
Pre-process RNASeq based expression data.
dCell.expProcessing Performes a TMM normalization, log2(counts+1) and scaling.
Usage
1
dCell.expProcessing(count.table, trim = TRUE)
Arguments
count.table
A table of quantified gene expression, samples by columns and genes by row.
trim
boolean, whather the expression data should be trimmed to include only genes present in DeconCell models.
Value
A normalized and scaled expression matrix.
Examples
1
2
3
4
data(coun.table)
dCell.exp <- dCell.expProcessing(count.table)
dim(dCell.exp)
head(dCell.exp)
raguirreg/DeconCell documentation built on May 29, 2019, 8:05 a.m.
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Description Usage Arguments Value Examples
View source: R/dCell_functions.R
Description
Pre-process RNASeq based expression data.
dCell.expProcessing Performes a TMM normalization, log2(counts+1) and scaling.
Usage
1 | dCell.expProcessing(count.table, trim = TRUE)
|
Arguments
count.table |
A table of quantified gene expression, samples by columns and genes by row. |
trim |
boolean, whather the expression data should be trimmed to include only genes present in DeconCell models. |
Value
A normalized and scaled expression matrix.
Examples
1 2 3 4 | data(coun.table)
dCell.exp <- dCell.expProcessing(count.table)
dim(dCell.exp)
head(dCell.exp)
|
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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