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

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.

Guardado en:
Detalles Bibliográficos
Autores principales: M. Büttner, J. Ostner, C. L. Müller, F. J. Theis, B. Schubert
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Q
Acceso en línea:https://doaj.org/article/f3602ee8dcdd476385c7f1228e3b7b0c
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f3602ee8dcdd476385c7f1228e3b7b0c
record_format dspace
spelling oai:doaj.org-article:f3602ee8dcdd476385c7f1228e3b7b0c2021-11-28T12:32:25ZscCODA is a Bayesian model for compositional single-cell data analysis10.1038/s41467-021-27150-62041-1723https://doaj.org/article/f3602ee8dcdd476385c7f1228e3b7b0c2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27150-6https://doaj.org/toc/2041-1723Imbalance 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.M. BüttnerJ. OstnerC. L. MüllerF. J. TheisB. SchubertNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
M. Büttner
J. Ostner
C. L. Müller
F. J. Theis
B. Schubert
scCODA is a Bayesian model for compositional single-cell data analysis
description 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.
format article
author M. Büttner
J. Ostner
C. L. Müller
F. J. Theis
B. Schubert
author_facet M. Büttner
J. Ostner
C. L. Müller
F. J. Theis
B. Schubert
author_sort M. Büttner
title scCODA is a Bayesian model for compositional single-cell data analysis
title_short scCODA is a Bayesian model for compositional single-cell data analysis
title_full scCODA is a Bayesian model for compositional single-cell data analysis
title_fullStr scCODA is a Bayesian model for compositional single-cell data analysis
title_full_unstemmed scCODA is a Bayesian model for compositional single-cell data analysis
title_sort sccoda is a bayesian model for compositional single-cell data analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f3602ee8dcdd476385c7f1228e3b7b0c
work_keys_str_mv AT mbuttner sccodaisabayesianmodelforcompositionalsinglecelldataanalysis
AT jostner sccodaisabayesianmodelforcompositionalsinglecelldataanalysis
AT clmuller sccodaisabayesianmodelforcompositionalsinglecelldataanalysis
AT fjtheis sccodaisabayesianmodelforcompositionalsinglecelldataanalysis
AT bschubert sccodaisabayesianmodelforcompositionalsinglecelldataanalysis
_version_ 1718407929525174272