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ARIC: Accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation data
[article]
2021
bioRxiv
pre-print
Quantifying the cell proportions, especially for rare cell types in some scenarios, is of great value to track signals related to certain phenotypes or diseases. Although some methods have been pro-posed to infer cell proportions from multi-component bulk data, they are substantially less effective for estimating rare cell type proportions since they are highly sensitive against feature outliers and collinearity. Here we proposed a new deconvolution algorithm named ARIC to estimate cell type
doi:10.1101/2021.04.02.438149
fatcat:appfpyqywfas7ou2avph73ab3e