summarize.tt.cutoffs: Summarize top-table for various cutoffs
In nickfishbane/DMRtools: Tools for 450K differential methylation analysis

Get counts from a limma analysis of how many features pass statistical significance and effect-size relevance

1 2	summarize.tt.cutoffs(tt, pval.thresh, beta.thresh = c(0.05, 0.1, 0.2, 0.3, 0.4, 0.5))

`tt`	A top-table output from `limma`
`pval.thresh`	Numerical vector of p-values in (0,1)
`beta.thresh`	Numerical vector of contrast (effect) sizes

Matrix of integers for each contrast and p-value pair, how many features have a lower p-value and contrast of greater magnitude

nickfishbane/DMRtools documentation built on May 23, 2019, 4:47 p.m.

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