Benchmarking of cell type deconvolution pipelines for transcriptomics data
oleh: Francisco Avila Cobos, José Alquicira-Hernandez, Joseph E. Powell, Pieter Mestdagh, Katleen De Preter
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-11-01 |
Deskripsi
Inferring cell type proportions from transcriptomics data is affected by data transformation, normalization, choice of method and the markers used. Here, the authors use single-cell RNAseq datasets to evaluate the impact of these factors and propose guidelines to maximise deconvolution performance.