A self-supervised deep learning method for data-efficient training in genomics

Deep learning in bioinformatics is often limited to problems where extensive amounts of labeled data are available for supervised classification. By exploiting unlabeled data, self-supervised learning techniques can improve the performance of machine learning models in the presence of limited labele...

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Detalles Bibliográficos
Autores principales: Gündüz, Hüseyin Anil, Binder, Martin, To, Xiao-Yin, Mreches, René, Bischl, Bernd, McHardy, Alice C., Münch, Philipp C., Rezaei, Mina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495322/
https://www.ncbi.nlm.nih.gov/pubmed/37696966
http://dx.doi.org/10.1038/s42003-023-05310-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495322/
https://www.ncbi.nlm.nih.gov/pubmed/37696966
http://dx.doi.org/10.1038/s42003-023-05310-2

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