Calculate the average methylation probability and prevalence based on specified probability threshold.
Examples
nmr <- load_example_nanomethresult()
gene_anno <- exons_to_genes(NanoMethViz::exons(nmr))
region_methy_stats(nmr, gene_anno)
#> # A tibble: 6 × 8
#> gene_id chr strand symbol start end mean_methy_prob prevalence
#> <chr> <chr> <chr> <chr> <int> <int> <dbl> <dbl>
#> 1 12189 chr11 - Brca1 101488764 101551955 0.590 0.600
#> 2 12190 chr5 + Brca2 150522630 150569747 0.557 0.565
#> 3 16210 chr18 + Impact 12955852 12992950 0.586 0.594
#> 4 17263 chr12 + Meg3 109541001 109571726 0.524 0.525
#> 5 18616 chr7 - Peg3 6703892 6730431 0.618 0.628
#> 6 213742 chrX - Xist 103460366 103483254 0.520 0.519