View source: R/classifier_visualization.R
heatmap_glmnet | R Documentation |
Create a heatmap of projected data (coef x data) with predicted outcomes at the top and consensus
heatmap_glmnet(se, assay = "data", cls_results, cv_model, scale = FALSE, ...)
se |
|
assay |
a name of assay slot in |
cls_results |
An output of |
cv_model |
output of caret::train or glmnet::cv_glmnet |
scale |
If TRUE, the data (=assays(se)[[assay]]) will be scaled |
... |
Additional parameters to be passed to |
Heatmap object
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