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Advanced ScRNASeq Analysis Using Partek Flow focusing on Multiple samples
Education

Advanced ScRNASeq Analysis Using Partek Flow focusing on Multiple samples

Ends:
TBD
This is the 3rd workshop of our four-part workshop series “Mastering Single-Cell Analysis with Partek Flow” that will provide in-depth exploration of single cell technologies and their applications. Leveraging Partek Flow software, this series will cover the entire workflow, from data import, pre-processing to results interpretation and visualization. Workshop 3:  Advanced ScRNASeq Analysis Using Partek Flow focusing on Multiple samples dive into an advanced ScRNASeq analysis techniques using Partek Flow, exploring multiple sample datasets. Enhance your skills in complex single cell rnaseq data analysis covering clustering options, batch effects correction methods, and visualization techniques. Target Audience: Experimental biologists seeking to analyze single cell data generated through experiments or retrieved from public databases. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so programming experience is not required. Upon completing this class, you should be able to: Import and preprocess single-cell count matrix data for multiple samplesPerform quality control and filtering of cells and genesIdentify and correct the batch effects using various methods (eg: Harmony)Perform advanced clustering and dimensionality reduction techniquesPerform cell type annotations, differential expression between multiple samples and visualizeDate: June 24, 2026 Time: 1:00pm to 3:00pm Mode: Zoom Location: synchronous online Instructor: Srilakshmi Chaparala Register for this class
Sources: pitt_events

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