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

Compositional changes of cell types are main drivers of biological processes. Their detection through single-cell experiments is difficult due to the compositionality of the data and low sample sizes. We introduce scCODA (https://github.com/theislab/scCODA), a Bayesian model addressing these issues...

Descripción completa

Detalles Bibliográficos
Autores principales: Büttner, M., Ostner, J., Müller, C. L., Theis, F. J., Schubert, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616929/
https://www.ncbi.nlm.nih.gov/pubmed/34824236
http://dx.doi.org/10.1038/s41467-021-27150-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616929/
https://www.ncbi.nlm.nih.gov/pubmed/34824236
http://dx.doi.org/10.1038/s41467-021-27150-6

Ejemplares similares