methylCC: technology-independent estimation of cell type composition using differentially methylated regions

methylCC: technology-independent estimation of cell type composition using differentially methylated regions

Blog Article

Abstract A major challenge in the analysis of DNA methylation (DNAm) data is variability introduced from intra-sample cellular heterogeneity, such as whole blood which is a convolution of DNAm profiles across a unique cell type.When this source of variability is telemarkskongen flue confounded with an outcome of interest, if unaccounted for, false positives ensue.Current methods to estimate the cell type proportions in whole blood DNAm samples are only baseball scoreboards for sale appropriate for one technology and lead to technology-specific biases if applied to data generated from other technologies.

Here, we propose the technology-independent alternative: methylCC, which is available at https://github.com/stephaniehicks/methylCC.