Efficient cytometry analysis with FlowSOM in Python boosts interoperability with other single-cell tools.
Bioinformatics
; 40(4)2024 Mar 29.
Article
em En
| MEDLINE
| ID: mdl-38632080
ABSTRACT
MOTIVATION We describe a new Python implementation of FlowSOM, a clustering method for cytometry data. RESULTS:
This implementation is faster than the original version in R, better adapted to work with single-cell omics data including integration with current single-cell data structures and includes all the original visualizations, such as the star and pie plot. AVAILABILITY AND IMPLEMENTATION The FlowSOM Python implementation is freely available on GitHub https//github.com/saeyslab/FlowSOM_Python.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Análise de Célula Única
/
Citometria de Fluxo
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Ano de publicação:
2024
Tipo de documento:
Article