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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, You, Xie, Li, Liu, Yang, Xie, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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

Ejemplares similares