Single Cell RNA Analysis

12 hours, no prerequisites

An applied course introducing single-cell transcriptomics and modern analysis workflows.

Topics include:

• A brief introduction to Python

• Introduction to scRNA-seq and its applications in biological research.
• Key prerequisites like k-Nearest Neighbors (k-NN), Principal Component Analysis (PCA), and UMAP for clustering and dimensionality reduction.

• Practical data analysis using Scanpy

No prior Python knowledge required, but helpful.