D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data

A single-cell sequencing data set has always been a challenge for clustering because of its high dimension and multi-noise points. The traditional K-means algorithm is not suitable for this type of data. Therefore, this study proposes a Dissimilarity-Density-Dynamic Radius-K-means clustering algorit...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Guoyun, Li, Manzhi, Wang, Hongtao, Lin, Shijun, Xu, Junlin, Li, Ruixi, Tang, Min, Li, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284269/
https://www.ncbi.nlm.nih.gov/pubmed/35846121
http://dx.doi.org/10.3389/fgene.2022.912711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284269/
https://www.ncbi.nlm.nih.gov/pubmed/35846121
http://dx.doi.org/10.3389/fgene.2022.912711

Ejemplares similares