Single-cell transcriptomics I

General information

Learning goals

• What?

  • Get acquainted with single-cell transcriptomics data (scRNA-seq)

  • Project work: manipulate scRNA-seq data in Python

  • Refresh your knowledge of dimensionality reduction and clustering

• Why?

  • Analysis of scRNA-seq helps address dozens of biological questions linked to the heterogeneity of normal and tumor tissues and cell differentiation

• How?

  • Discussing and applying classic machine learning methods and methods specifically developed for scRNA-seq to get insights into the data structure

Material

The slides for the lecture can be found here.