ProkBERT family genomic language models for microbiome applications
In the evolving landscape of microbiology and microbiome analysis, the integration of machine learning is crucial for understanding complex microbial interactions, and predicting and recognizing novel functionalities within extensive datasets. However, the effectiveness of these methods in microbiol...
| Szerzők: |
Ligeti Balázs Szepesi-Nagy István Bodnár Babett Ligeti-Nagy Noémi Juhász János |
|---|---|
| Dokumentumtípus: | Cikk |
| Megjelent: |
2024
|
| Sorozat: | FRONTIERS IN MICROBIOLOGY
14 |
| Tárgyszavak: | |
| doi: | 10.3389/fmicb.2023.1331233 |
| mtmt: | 34548692 |
| Online Access: | https://publikacio.ppke.hu/3578 |
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