train_save_classifier: Train and save a penalized logistic regression classifier.
In maehrlab/thymusatlastools: Tools for analysis of single-cell transcriptomic data
Description
Uses Seurat::FetchData(training_dge, vars.all = ident.use ) as class labels.
Results ('glmnet' object) and training data (Seurat object) get
saved into a subdirectory of 'results_path'.
Usage
1
2
train_save_classifier(training_dge, results_path, ident.use = "cell_type",
genes.use, do.save = F)
maehrlab/thymusatlastools documentation built on May 28, 2019, 2:32 a.m.
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Description
Uses Seurat::FetchData(training_dge, vars.all = ident.use ) as class labels. Results ('glmnet' object) and training data (Seurat object) get saved into a subdirectory of 'results_path'.
Usage
1 2 | train_save_classifier(training_dge, results_path, ident.use = "cell_type",
genes.use, do.save = F)
|
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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