Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification

Rapid and accurate clinical diagnosis remains challenging. A component of diagnosis tool development is the design of effective classification models with Mass spectrometry (MS) data. Some Machine Learning approaches have been investigated but these models require time-consuming preprocessing steps...

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Detalles Bibliográficos
Autores principales: Seddiki, Khawla, Saudemont, Philippe, Precioso, Frédéric, Ogrinc, Nina, Wisztorski, Maxence, Salzet, Michel, Fournier, Isabelle, Droit, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644674/
https://www.ncbi.nlm.nih.gov/pubmed/33154370
http://dx.doi.org/10.1038/s41467-020-19354-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644674/
https://www.ncbi.nlm.nih.gov/pubmed/33154370
http://dx.doi.org/10.1038/s41467-020-19354-z

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