# Classification *** There are different methods to automatically classify cell type based on biomarkers. There are two methods available in Connected Multiomics * SCtype * Garnett ### Cell Typing with ScType ScType allows automated cell-type identification based on scRNA-seq data along with a comprehensive cell marker database as background information. * Click the data node containing the non-normalized count matrix * Click on **Classification** > **Single cell type** in the toolbox * Select the marker database from the drop-down menu, the original full ScType database is provided by default * Select categorical attributes to **Categorize by** (e.g. graph-based clusters) * Optionally **Filter tissue types** * Select the **SC Type algorithm** to use * Click **Configure** to access and change any *Advanced options* * Click **Finish** to run A new *scType classification* task node will be produced. When complete, double-click the **Single cell type** node to open the results of the cell-type identification. For each cell, the tissue, sctype result, and typescore are reported. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://help.connected.illumina.com/icm/analyses/analysis-functionality/task-menu/classification.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.