Computational deconvolution of DNA methylation data from mixed DNA samples
Maísa R Ferro dos Santos,
Edoardo Giuili,
Andries De Koker
et al.
Abstract:In this review, we provide a comprehensive overview of the different computational tools that have been published for the deconvolution of bulk DNA methylation (DNAm) data. Here, deconvolution refers to the estimation of cell-type proportions that constitute a mixed sample. The paper reviews and compares 25 deconvolution methods (supervised, unsupervised or hybrid) developed between 2012 and 2023 and compares the strengths and limitations of each approach. Moreover, in this study, we describe the impact of the… Show more
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