decemedip - hierarchical Bayesian modeling for cell type deconvolution of immunoprecipitation-based DNA methylome
The R package decemedip is a novel computational paradigm developed for inferring the relative abundances of cell types and tissues measure by methylated DNA immunoprecipitation sequencing (MeDIP-Seq). This paradigm allows using reference data from other technologies such as microarray or WGBS.
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softwareimmunooncologydnamethylationepigeneticssequencingwholegenomebayesianbayesian-data-analysisbayesian-inferencebioinformaticsdna-methylationdna-methylation-dataepigenomicsgenerative-modelomicsrstanstanonetbbcpp
5.41 score 4 stars 43 scripts 289 downloads
vmrseq - Probabilistic Modeling of Single-cell Methylation Heterogeneity
High-throughput single-cell measurements of DNA methylation allows studying inter-cellular epigenetic heterogeneity, but this task faces the challenges of sparsity and noise. We present vmrseq, a statistical method that overcomes these challenges and identifies variably methylated regions accurately and robustly.
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softwareimmunooncologydnamethylationepigeneticssinglecellsequencingwholegenomecomputational-biologydimensionality-reductionepigenomics-workflowhidden-markov-modelprobabilistic-models
5.22 score 11 stars 7 scripts 265 downloads