Omics-CNN: A comprehensive pipeline for predictive analytics in quantitative omics using one-dimensional convolutional neural networks

BACKGROUND AND OBJECTIVE: The development of machine learning-based models that can be used for the prediction of severe diseases has been one of the main concerns of the scientific community. The current study seeks to expand a highly sophisticated tool, the Convolutional Neural Networks, making it...

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Detalles Bibliográficos
Autores principales: Zompola, Anastasia, Korfiati, Aigli, Theofilatos, Konstantinos, Mavroudi, Seferina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658203/
https://www.ncbi.nlm.nih.gov/pubmed/38027840
http://dx.doi.org/10.1016/j.heliyon.2023.e21165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658203/
https://www.ncbi.nlm.nih.gov/pubmed/38027840
http://dx.doi.org/10.1016/j.heliyon.2023.e21165

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