feature_trace: plot traces for the 'paired' or 'tripled' design
In vjcitn/htxapp: prototype of metadata-driven selection in HumanTranscriptomeCompendium

plot traces for the 'paired' or 'tripled' design

1 2	feature_trace(featuresym, se, tx = function(x) log(x + 1), id = "patient.id", strat = "source_name")

`featuresym`	character(1) name of an assay (rowname of SummarizedExperiment)
`se`	SummarizedExperiment instance
`tx`	function that transforms numerical input to desired scale for plotting
`id`	character(1) name of subject identifier, a vector in colData that partitions its rows into the collections of contributions from each subject
`strat`	character(1) name of variable in colData that gives the type of each of the repeated measures

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2
3

data(hccLinc4)
requireNamespace("ggplot2")
feature_trace("TERC", hccLinc4) + xlab(" ") + guides(colour="none")

vjcitn/htxapp documentation built on May 20, 2019, 12:37 p.m.

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