LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes

The identification of cell types in complex tissues is an important step in research into cellular heterogeneity in disease. We present a linear fast semi-supervised clustering (LFSC) algorithm that utilizes reference samples generated from bulk RNA sequencing data to identify cell types from single...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Qiaoming, Liang, Yingjian, Wang, Dong, Li, Jie
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/PMC9754124/
https://www.ncbi.nlm.nih.gov/pubmed/36531230
http://dx.doi.org/10.3389/fgene.2022.1068075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754124/
https://www.ncbi.nlm.nih.gov/pubmed/36531230
http://dx.doi.org/10.3389/fgene.2022.1068075

Ejemplares similares