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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....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |