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Data Efficiency Semi-Supervised Meta-Learning Elucidates Understudied Interspecies Molecular Interactions
The power of deep learning compromises when applied to biological problems with sparsely labeled data and a data distribution shift. We developed a highly data-efficient model-agnostic semi-supervised meta-learning framework DESSML to address these challenges, and applied it to investigate understud...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245663/ https://www.ncbi.nlm.nih.gov/pubmed/37292680 http://dx.doi.org/10.1101/2023.05.17.541172 |