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  • plot_de_confidence(x, gene_name) shows, for the isoforms of the given genes, the median log2 fold-change over the Salmon replicates with its 95% interval, coloured by the confidence class of de_confidence() and with the shape marking the calls of the primary differential expression test. An interval that crosses zero, a faded colour or an ambiguous isoform tell the reader not to trust the call.

  • plot_isoform_correlation(x, gene_name) draws the correlation between the replicates of every pair of isoforms of a gene. Strongly negative cells (outlined when ambiguous) mark isoforms whose reads cannot be told apart.

  • plot_inf_rv(x) shows the distribution of the inferential relative variance per transcript type with the cutoff used to call isoforms uncertain.

  • confidence_palette() gives the colours of the confidence classes.

Usage

confidence_palette()

plot_de_confidence(self, gene_name, ncol = 1L, ...)

plot_isoform_correlation(self, gene_name, ncol = 1L, ...)

plot_inf_rv(self, top_types = 6L, ...)

Arguments

self

An IsoformicExperiment with uncertainty tables (see add_uncertainty()).

gene_name

Gene names or IDs to plot.

ncol

Number of panel columns.

...

Unused.

top_types

Number of the most frequent transcript types to show.

Value

A ggplot object, or a named character vector for confidence_palette().