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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:
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
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author Rahimikollu, Javad
Das, Jishnu
author_facet Rahimikollu, Javad
Das, Jishnu
author_sort Rahimikollu, Javad
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description 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 predefined biological groups.
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spelling pubmed-94033712022-08-26 A supervised take on dimensionality reduction via hybrid subset selection Rahimikollu, Javad Das, Jishnu Patterns (N Y) Preview 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 predefined biological groups. Elsevier 2022-08-12 /pmc/articles/PMC9403371/ /pubmed/36033587 http://dx.doi.org/10.1016/j.patter.2022.100563 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Preview
Rahimikollu, Javad
Das, Jishnu
A supervised take on dimensionality reduction via hybrid subset selection
title A supervised take on dimensionality reduction via hybrid subset selection
title_full A supervised take on dimensionality reduction via hybrid subset selection
title_fullStr A supervised take on dimensionality reduction via hybrid subset selection
title_full_unstemmed A supervised take on dimensionality reduction via hybrid subset selection
title_short A supervised take on dimensionality reduction via hybrid subset selection
title_sort supervised take on dimensionality reduction via hybrid subset selection
topic Preview
url 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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