A supervised take on dimensionality reduction via hybrid subset selection

Amouzgar et al. present HSS-LDA, a supervised dimensionality reduction approach for single-cell data that outperforms existing unsupervised techniques. They couple hybrid subset selection to linear discriminant analysis and identify interpretable linear combinations of predictors that best separate...

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Detalles Bibliográficos
Autores principales: Rahimikollu, Javad, Das, Jishnu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403371/
https://www.ncbi.nlm.nih.gov/pubmed/36033587
http://dx.doi.org/10.1016/j.patter.2022.100563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403371/
https://www.ncbi.nlm.nih.gov/pubmed/36033587
http://dx.doi.org/10.1016/j.patter.2022.100563

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