classify_mlr: Apply a machine learning classifier (from...
In maehrlab/thymusatlastools: Tools for analysis of single-cell transcriptomic data
Description
Apply a machine learning classifier (from 'train_save_classifier') to new data
Usage
1
classify_mlr(dge, mlr_mod)
Arguments
dge
a Seurat object
mlr_mod
a glmnet multiclass logistic regression model.
You can feed the output of 'train_save_classifier' into the 'mlr_mod' argument.
maehrlab/thymusatlastools documentation built on May 28, 2019, 2:32 a.m.
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.
Description
Apply a machine learning classifier (from 'train_save_classifier') to new data
Usage
1 | classify_mlr(dge, mlr_mod)
|
Arguments
dge |
a Seurat object |
mlr_mod |
a glmnet multiclass logistic regression model. You can feed the output of 'train_save_classifier' into the 'mlr_mod' argument. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.