Description Usage Arguments Details Value Examples
This function tests presence of selection bias using logistic regression, and produces a boxplot that compares distributions of bias factors (e.g. number of exons) for significant genes and non-significant genes.
1 | lrTestBias(genewise.table, boxplot.width = 0.1)
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genewise.table |
A dataframe with genewise p-value for each gene, returned from |
boxplot.width |
width of boxplot |
To determine presentce of selection bias, we fit the following logistic regression model:
Pr(a gene is significant) ~ number of features within the gene
Here features refer to exon bins or splicing junction bins, depending on
how genewise pvalues were obtained in the genewise.table
Nothing to be returned
1 2 | gene.based.table <- makeGeneTable(featureBasedData)
lrTestBias(gene.based.table)
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