BEDwARS: a robust Bayesian approach to bulk gene expression deconvolution with noisy reference signatures.
Genome Biol
; 24(1): 178, 2023 08 03.
Article
en En
| MEDLINE
| ID: mdl-37537644
ABSTRACT
Differential gene expression in bulk transcriptomics data can reflect change of transcript abundance within a cell type and/or change in the proportions of cell types. Expression deconvolution methods can help differentiate these scenarios. BEDwARS is a Bayesian deconvolution method designed to address differences between reference signatures of cell types and corresponding true signatures underlying bulk transcriptomic profiles. BEDwARS is more robust to noisy reference signatures and outperforms leading in-class methods for estimating cell type proportions and signatures. Application of BEDwARS to dihydropyridine dehydrogenase deficiency identified the possible involvement of ciliopathy and impaired translational control in the etiology of the disorder.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Perfilación de la Expresión Génica
/
Transcriptoma
Idioma:
En
Revista:
Genome Biol
Asunto de la revista:
BIOLOGIA MOLECULAR
/
GENETICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos