Haisu: Hierarchically supervised nonlinear dimensionality reduction

We propose a novel strategy for incorporating hierarchical supervised label information into nonlinear dimensionality reduction techniques. Specifically, we extend t-SNE, UMAP, and PHATE to include known or predicted class labels and demonstrate the efficacy of our approach on multiple single-cell R...

Descripción completa

Detalles Bibliográficos
Autores principales: VanHorn, Kevin Christopher, Çobanoğlu, Murat Can
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345488/
https://www.ncbi.nlm.nih.gov/pubmed/35862429
http://dx.doi.org/10.1371/journal.pcbi.1010351

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345488/
https://www.ncbi.nlm.nih.gov/pubmed/35862429
http://dx.doi.org/10.1371/journal.pcbi.1010351

Ejemplares similares