scConsensus: combining supervised and unsupervised clustering for cell type identification in single-cell RNA sequencing data

BACKGROUND: Clustering is a crucial step in the analysis of single-cell data. Clusters identified in an unsupervised manner are typically annotated to cell types based on differentially expressed genes. In contrast, supervised methods use a reference panel of labelled transcriptomes to guide both cl...

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Detalles Bibliográficos
Publicado en:BMC Bioinformatics
Autores principales: Ranjan, Bobby, Schmidt, Florian, Sun, Wenjie, Park, Jinyu, Honardoost, Mohammad Amin, Tan, Joanna, Arul Rayan, Nirmala, Prabhakar, Shyam
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8042883/
https://ncbi.nlm.nih.gov/pubmed/33845760
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04028-4
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