# Classify cell type
Garnett\[1] automated cell type classification method should be invoked from a non-normalized raw count matrix data node. It use the specified classifier to generate cell type annotation on the input data
Select a raw count data node, choose **Classification > Classify cell type** task on the pop-up menu
If using the **Managed classifiers** tool for the first time, you will be asked to create a new classifier file. Users may select either the **Download Garnett classifier** that matches the species and tissue type with their dataset or the **Import Garnett classifier** that is trained previously.
Next, click the **Create** button to create the classifier file. Once the correct classifier file has been created, select **Finish** to start running the task.
If you would like to classify cell type with the classifier obtained from the same analysis, choose **Project classifiers,** and click on ‘**Select data node**’ to choose the classifier in the analysis. Details on how to train a classifier can be found [here](https://help.connected.illumina.com/icm/analyses/analysis-functionality/task-menu/classification/train-classifier). Then click the **Finish** button.
The output data node named **Classify result,** it contains the cell type annotation attributes, "*cell\_type*" is the cell type assignments directly from Garnett model. While "*cluster\_ext\_type*" is the cell type that's determined by expanding cell type assignments to nearby cells using Louvain clustering. Downstream analysis tasks such as normalization and PCA can be performed on the **Classify result** data node.
## References
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