Evaluation of input data modality choices on functional gene embeddings

Functional gene embeddings, numerical vectors capturing gene function, provide a promising way to integrate functional gene information into machine learning models. These embeddings are learnt by applying self-supervised machine-learning algorithms on various data types including quantitative omics...

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Detalles Bibliográficos
Autores principales: Brechtmann, Felix, Bechtler, Thibault, Londhe, Shubhankar, Mertes, Christian, Gagneur, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629286/
https://www.ncbi.nlm.nih.gov/pubmed/37942285
http://dx.doi.org/10.1093/nargab/lqad095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629286/
https://www.ncbi.nlm.nih.gov/pubmed/37942285
http://dx.doi.org/10.1093/nargab/lqad095

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