Selected Topics (Single-Cell Data Analysis)

This course provides a comprehensive introduction to single-cell data analysis, covering key techniques for processing and interpreting single-cell RNA sequencing (scRNA-seq) data. Participants will learn about quality control, normalization, clustering, differential expression, and visualization methods. Hands-on sessions with cutting-edge tools will equip learners to analyze complex single-cell datasets and uncover biological insights.