This is an overview of teaching materials used by the Core Bioinformatics group (CSCI).
The current form of these materials is subject to copyright.
BBS contains slides of a course on various bioinformatics topics
- Linear regression
- Machine learning
- RNA-Seq data analysis pipeline
Introduction to ML - AZ contains an introductory practical machine learning course delivered to Astra Zeneca in November 2021
- Introduction, overview of techniques and cross-validation
- CARET package and k nearest neighbours
- Decision trees, random forests, and support vector machines
- Practical on supervised approaches
- Dimensionality reduction and clustering
Introduction to RNAseq contains an overview of bulk RNA-Seq data analysis delivered to members of the CSCI in November 2021
- Overview of pipeline components
- QC, alignment to the reference genome and feature quantification
- Noise quantification and removal
- Post-alignment QC, differential expression and enrichment analysis