runErrorModel: Apply error model to estimate technical SD from raw counts
In SpatialDecon: Deconvolution of mixed cells from spatial and/or bulk gene expression data
Description
Usage
Arguments
Value
View source: R/runErrorModel.R
Description
Based on raw counts, uses past data to estimate each raw count's log-scale
SD from technical noise.
Specifies different error models for different platforms.
Usage
1
runErrorModel(counts, platform = "general")
Arguments
counts
vector or matrix of raw counts
platform
String specifying which platform was used to create
"rawCounts". Default to "dsp".
Other options include "ncounter", "rsem" and "quantile".
Value
a matrix of log2-scale SDs
SpatialDecon documentation built on Nov. 8, 2020, 6 p.m.
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Description Usage Arguments Value
View source: R/runErrorModel.R
Description
Based on raw counts, uses past data to estimate each raw count's log-scale SD from technical noise. Specifies different error models for different platforms.
Usage
1 | runErrorModel(counts, platform = "general")
|
Arguments
counts |
vector or matrix of raw counts |
platform |
String specifying which platform was used to create "rawCounts". Default to "dsp". Other options include "ncounter", "rsem" and "quantile". |
Value
a matrix of log2-scale SDs
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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