ks.best_signiture_de: ks.best_signiture_de
In kstawiski/miRNAselector: miRNAselector - a package for biomarker selection based on high-throughput experiments.
Description
Usage
Arguments
Value
View source: R/ks.best_signiture_de.R
Description
As a part of checkpoint, you may want to check the differential expression of selected miRNAs. This function uses 'ks.miRNA_differential_expression()' to check the miRNAs on training dataset.
Usage
1
ks.best_signiture_de(selected_miRNAs, use_mix = F)
Arguments
selected_miRNAs
Vector of selected miRNAs to be checked.
use_mix
By default (i.e. FALSE) we check the differential expression only on training dataset. If you want to check it on whole dataset (training, testing and validation dataset combined) set it to TRUE.
Value
Results of differential expression.
kstawiski/miRNAselector documentation built on Oct. 10, 2020, 9:03 a.m.
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Description Usage Arguments Value
View source: R/ks.best_signiture_de.R
Description
As a part of checkpoint, you may want to check the differential expression of selected miRNAs. This function uses 'ks.miRNA_differential_expression()' to check the miRNAs on training dataset.
Usage
1 | ks.best_signiture_de(selected_miRNAs, use_mix = F)
|
Arguments
selected_miRNAs |
Vector of selected miRNAs to be checked. |
use_mix |
By default (i.e. FALSE) we check the differential expression only on training dataset. If you want to check it on whole dataset (training, testing and validation dataset combined) set it to TRUE. |
Value
Results of differential expression.
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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