dmrscaler | R Documentation |
dmrscaler
dmrscaler
dmrscaler( locs, locs_pval_cutoff = 0.05, region_signif_method = c("bonferroni", "benjamini-yekutieli", "p-value"), region_signif_cutoff = 0.01, window_type = c("k_nearest", "genomic_width"), window_sizes = c(2, 4, 8, 16, 32, 64), dmr_constraint_list = NULL, output_type = c("simple", "complete") ) dmrscaler( locs, locs_pval_cutoff = 0.05, region_signif_method = c("bonferroni", "benjamini-yekutieli", "p-value"), region_signif_cutoff = 0.01, window_type = c("k_nearest", "genomic_width"), window_sizes = c(2, 4, 8, 16, 32, 64), dmr_constraint_list = NULL, output_type = c("simple", "complete") )
locs |
dataframe of measured CpG loci with columns as "chr", "pos", "pval" |
region_signif_method |
one of "p-value" or "benjamini-yekutieli" (false discovery rate control) or "bonferroni" (family-wise error rate) |
region_signif_cutoff |
p-value or fwer at which regions are considered significant or desired fdr is achieved for regions |
window_type |
specifies one of "k_nearest" or "genomic_width" |
window_sizes |
vector of window size for each layer where window_type determines whether this represents the genomic_width of windows or the k_nearest neighbors that compose a window |
dmr_constraint_list |
(ADD LATER)(optional) a list of rules that further constrains the definition of a differentially methylated region |
output_type |
one of "simple" or "complete" where "simple" returns only the topmost layer as a dataframe of dmrs and "complete" returns a list of dataframes of dmrs that were called at and/or propegated up through each layer |
loc_signif_method |
one of "p-value" or "fdr" (false discovery rate) |
loc_signif_cutoff |
p-value at which individual CpGs are considered significant or desired fdr is achieved for individual CpGs |
dmrscaler returns a list of dmrs at each layer
dmrscaler returns a list of dmrs at each layer
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