Course Outline
• Introduction to machine learning concepts and terminology
• Raw data processing with CellRanger
• Single-cell RNAseq data analysis using workflow with Scanpy
• Cell quality control & normalisation
• Feature selection and dimensionalty reduction
• Clustering and visualisation (UMAP)
• Manual and automatic cell type annotation
• Investigating cell doublets and ambient RNA
• Data integration using scvi-tools
• Pseudobulk differential gene expression and pathway analysis
Guest Speakers
• Devika Agarwal (Principal Bioinformatician, UCB)
• Registration fee: £800
• Free for MRC Functional Genomics Initiative members
• Includes tea and coffee breaks and hot lunch in the college dining hall
• Registration closes Friday 18th December 2026 at 5pm
• This course requires familiarity with programming in Python and use of Python data science packages including Numpy, Pandas and Matplotlib
Register here