Single Cell Orange 06: Batch Effect Removal
Channel: Orange Data Mining
Date: 2019-07-31

How to remove variability from different experiments, the so-called batch effects, by using data set alignment and how to discover cells types in a t-sne visualization.

The workflow is the most complicated so far. You can download it from our website to repeat the results:
https://singlecell.biolab.si/tags/batch-effects

Design: Agnieszka Rovšnik
Created by: Laboratory for Bioinformatics, Faculty of Computer and Information Science, University of Ljubljana