EE563

Selected Topics in Electrical Engineering: Flow Cytometry Data Analysis

Meeting times             : Friday 13:30, 14:30, 15:30

Instructor                   : Bilge Karaçalı, PhD

Office                          : EEE Building Room 209

Phone                         : 6534

E-mail                         : bilgekaracali@iyte.edu.tr

 

Summary

Principles of flow cytometry; Cell preparation; Fluorochromes and fluorescence; Experimental design and fluorescence quantitation; Cell sorting; Compensation; Statistical analysis: Probability binning; Data analysis using machine learning. Readings on flow cytometry data analysis. 

 

Grading

Class Participation      50%

Project                         50%

 

Material

Syllabus

Week 1: Introduction to flow cytometry

Week 2: Fluorochromes and fluorescence

Week 3: Experimental design and fluorescence quantitation

Week 4: Compensation and gating

Week 5: Normalization

Week 6: Comparing Univariate Cell Distributions

Week 7: Probability Binning

Week 8: Readings on flow cytometry data analysis

Week 9: Readings on flow cytometry data analysis

Week 10: Readings on flow cytometry data analysis

Week 11: Readings on flow cytometry data analysis

Week 12: Readings on flow cytometry data analysis

Week 13: Readings on flow cytometry data analysis

Week 14: Overview