Constraining classifiers in molecular analysis: invariance and robustness

Analysing molecular profiles requires the selection of classification models that can cope with the high dimensionality and variability of these data. Also, improper reference point choice and scaling pose additional challenges. Often model selection is somewhat guided by ad hoc simulations rather t...

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Detalles Bibliográficos
Autores principales: Lausser, Ludwig, Szekely, Robin, Klimmek, Attila, Schmid, Florian, Kestler, Hans A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061712/
https://www.ncbi.nlm.nih.gov/pubmed/32019472
http://dx.doi.org/10.1098/rsif.2019.0612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061712/
https://www.ncbi.nlm.nih.gov/pubmed/32019472
http://dx.doi.org/10.1098/rsif.2019.0612

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