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Bioinformatics for T-Cell immunology - Multiomics data integration - Part 2
Overview:The session introduces the landscape of data integration tools and applications. Highlighting two differing approaches; 1. Multi-staged analysis (biology-driven) and 2. Meta-dimensional analysis (data-driven) approaches. During the practical we will focus on a meta-dimensional analysis approach using MOFA (multi-omic factor analysis) to explore, integrate and characterise different components extracted from a multi-omic dataset.
Learning outcome
By the end of this session you will:
- Gain an understanding in the two different approaches for multi-omic integration
- Apply meta-dimensional approach to a datasets
- Gain confidence in exploring and understand the model we generate
Matthew Madgwick – Earlham Institute
Tamás Korcsmáros – Imperial College London / Earlham Institute
Resource details
| Contributed by: | Pathology Portal |
| Authored by: |
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| Licence: | © All rights reserved More information on licences |
| First contributed: | 15 December 2022 |
| Audience access level: | Full user |
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