determineEstimableGenes: Determine estimable genes using a local polynomial regression...
In seasamgo/sera: Infer seqFISH expression patterns using scRNA-seq data
Description
Usage
Arguments
Value
View source: R/package_functions.R
Description
Determine estimable genes using a local polynomial regression
on model components
Usage
1
determineEstimableGenes(outcome, fit, quantile_threshold = 0.75)
Arguments
outcome
A cell by gene estimated expression matrix
fit
Model fit glmnet object
quantile_threshold
Percentile at which to threshold estimate standard deviation, default 75%
Value
Returns a character vector of the estimable genes
seasamgo/sera documentation built on May 14, 2019, 1:57 a.m.
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Description Usage Arguments Value
View source: R/package_functions.R
Description
Determine estimable genes using a local polynomial regression on model components
Usage
1 | determineEstimableGenes(outcome, fit, quantile_threshold = 0.75)
|
Arguments
outcome |
A cell by gene estimated expression matrix |
fit |
Model fit glmnet object |
quantile_threshold |
Percentile at which to threshold estimate standard deviation, default 75% |
Value
Returns a character vector of the estimable genes
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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