Benchmarking of cell type deconvolution pipelines for transcriptomics data

Many computational methods have been developed to infer cell type proportions from bulk transcriptomics data. However, an evaluation of the impact of data transformation, pre-processing, marker selection, cell type composition and choice of methodology on the deconvolution results is still lacking....

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Detalles Bibliográficos
Autores principales: Avila Cobos, Francisco, Alquicira-Hernandez, José, Powell, Joseph E., Mestdagh, Pieter, De Preter, Katleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648640/
https://www.ncbi.nlm.nih.gov/pubmed/33159064
http://dx.doi.org/10.1038/s41467-020-19015-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648640/
https://www.ncbi.nlm.nih.gov/pubmed/33159064
http://dx.doi.org/10.1038/s41467-020-19015-1

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