compute_activation: Computing activation state of hidden nodes
In bioinfo00/xnnet0: Explainable neural network classification
View source: R/xnnet_functions_v0.1.R
Description
Computing activation state of hidden nodes
Usage
1
compute_activation(xnnet_single, X, y, zscore_threshold = 3)
Arguments
xnnet_single
output of build_xnnet
X
matrix of transcriptional profiles (samples x genes)
y
binay vector of labels for each sample
zscore_threshold
threshold on zscores
bioinfo00/xnnet0 documentation built on Sept. 16, 2020, 8:22 a.m.
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View source: R/xnnet_functions_v0.1.R
Description
Computing activation state of hidden nodes
Usage
1 | compute_activation(xnnet_single, X, y, zscore_threshold = 3)
|
Arguments
xnnet_single |
output of build_xnnet |
X |
matrix of transcriptional profiles (samples x genes) |
y |
binay vector of labels for each sample |
zscore_threshold |
threshold on zscores |
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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