scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data.
Bioinformatics
; 39(1)2023 01 01.
Article
em En
| MEDLINE
| ID: mdl-36394263
ABSTRACT
SUMMARY:
scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a focus on cell biasing and fate splits at the level of bifurcations. It is meant to be fully integrated into the scanpy ecosystem for seamless analysis of trajectories from single-cell data of various modalities (e.g. RNA and ATAC). AVAILABILITY AND IMPLEMENTATION scFates is released as open-source software under the BSD 3-Clause 'New' License and is available from the Python Package Index at https//pypi.org/project/scFates/. The source code is available on GitHub at https//github.com/LouisFaure/scFates/. Code reproduction and tutorials on published datasets are available on GitHub at https//github.com/LouisFaure/scFates_notebooks. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Ecossistema
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Áustria