cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.
Nat Methods
; 16(5): 397-400, 2019 05.
Article
em En
| MEDLINE
| ID: mdl-30962623
ABSTRACT
We present cisTopic, a probabilistic framework used to simultaneously discover coaccessible enhancers and stable cell states from sparse single-cell epigenomics data ( http//github.com/aertslab/cistopic ). Using a compendium of single-cell ATAC-seq datasets from differentiating hematopoietic cells, brain and transcription factor perturbations, we demonstrate that topic modeling can be exploited for robust identification of cell types, enhancers and relevant transcription factors. cisTopic provides insight into the mechanisms underlying regulatory heterogeneity in cell populations.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Perfilação da Expressão Gênica
/
Análise de Célula Única
/
Epigenômica
/
Modelos Teóricos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Nat Methods
Assunto da revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Bélgica