RasmussenLab
The Rasmussen group focuses on proteome and genome variation, coding variation and deep learning for integration of genomics, proteomics and clinical data.
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- MOVE Public
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
- integrative_post_gwas_methods_course Public
Course material and notes for the PhD course "Integrative Post-GWAS Methods: Advanced Statistics, Functional Genomics, and Machine Learning" w. Ditte Demontis Group
- V2F Public
- SLIM Public
SLIM is a small bilinear model that uses gene embeddings (e.g. STRING) to predict single-cell genetic perturbation responses.
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