Project Details
Description
Because natural languages and genetic sequences share structural similarities, natural language processing techniques are applied to predict the disease risk associated with non-coding variants.
Layman's description
As DNA works a bit like a human language, language-processing tools are used to figure out if certain changes in DNA might lead to disease.
| Short title | NLP for variant prediction |
|---|---|
| Status | Active |
| Effective start/end date | 4/12/23 → … |
Keywords
- NLP
- Transformer
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Reaping the fruits of LLM pruning: towards small language models for efficient non-coding variant effect prediction
Hegde, M., Nebel, J.-C. & Rahman, F., 10 Nov 2025, In: Genes. 16, 11, 1358.Research output: Contribution to journal › Article › peer-review
Open Access -
Language modelling techniques for analysing the impact of human genetic variation
Hegde, M., Nebel, J. C. & Rahman, F., 2025, In: Bioinformatics and Biology Insights. 19, 30 p.Research output: Contribution to journal › Review article › peer-review
Open Access