patternMap: Plot a representation of the patterns and their frequencies

Description Usage Arguments Details Author(s) Examples

Description

Plot the observed distribution and the estimated distribution of the methylation patterns

Usage

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  patternMap(patterns,
             minFreq=0,
             maxFreq=1,
             noSpurious=TRUE,
             estimatedDistribution=TRUE,
             topDown=TRUE,
             allTicks=FALSE,
             methCol='black',
             unMethCol='white',
             ...)

Arguments

patterns

A data frame obtained from the output of the function estimatePatterns.

minFreq

Only plot patterns with at least minFreq frequency.

maxFreq

Only plot patterns with more maxFreq frequency or more.

noSpurious

Don't plot spurious patterns (only relevant if estimatedDistribution is FALSE).

estimatedDistribution

Use the frequencies from the estimated distribution. If FALSE, use the observed distribution.

topDown

Put the most abundant patterns at the top. If FALSE the most abundant patterns are at the bottom.

allTicks

Draw a tick under every position.

methCol

The colour for the methylated positions. Can be a single colour, a vector of colours (recycled), or a function (for instance from colorRampPalette).

unMethCol

As methCol but for un-methylated positions.

...

Other arguments passed to plot

Details

This function draws a map of the different pattern and their frequencies based on the values returned by estimatePatterns.

Author(s)

Peijie Lin, Sylvain Foret, Conrad Burden

Examples

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  data(patternsExample)
  estimates <- estimatePatterns(patternsExample, 
                                epsilon=0.02, 
                                eta=0.01)
  patternMap(estimates[[1]])

paulyLin/MPFE documentation built on May 24, 2019, 10:34 p.m.