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Exploring the Potential of GANs in Biological Sequence Analysis
SIMPLE SUMMARY: This work deals with class imbalance issues associated with the bio-sequence datasets by employing a generative adversarial model (GAN) to improve their machine-learning-based classification performance. GAN is used to generate synthetic sequence data, which is very similar to real d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295061/ https://www.ncbi.nlm.nih.gov/pubmed/37372139 http://dx.doi.org/10.3390/biology12060854 |