scCODA is a Bayesian model for compositional single-cell data analysis

Autor: M. Büttner, J. Ostner, C. L. Müller, F. J. Theis, B. Schubert
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-27150-6
Popis: Imbalance and loss of cell types is a hallmark in many diseases. Still, quantifying compositional changes in scRNAseq data remains challenging. Here the authors present scCODA, a Bayesian model to assess cell type compositions in scRNA-seq data.
Databáze: Directory of Open Access Journals