Research output per year
Research output per year
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
Press/Media
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Kingston University secures Amazon Research Award funding to unlock secrets of the dark genome
Nebel, J.-C., Rahman, F. & Hegde, M.
4/12/25
1 item of Media coverage
Press/Media