Article ; Online: A supervised take on dimensionality reduction via hybrid subset selection.
Patterns (New York, N.Y.)
2022 Volume 3, Issue 8, Page(s) 100563
Abstract: 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 ... ...
Abstract | 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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Language | English |
Publishing date | 2022-08-12 |
Publishing country | United States |
Document type | News |
ISSN | 2666-3899 |
ISSN (online) | 2666-3899 |
DOI | 10.1016/j.patter.2022.100563 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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