View source: R/expression_funks.R
testHourglassModel | R Documentation |
Test the hypothesis of the developmental hourglass by carrying out various t-tests. In these, compare the distributions of expression profile distances within a given tissue between gene classes. This should show which gene class contributes to the hourglass model. Also compare for a given gene class early and late developmental tissues with intermediate samples. This should show wether early and late stages are more diverse than intermediate ones, and thus give the hourglass shape.
testHourglassModel(x, tissues = c("seedling", "cotyledon",
"developing leaf", "flower stage 9", "flower stage 16"),
gene.classes = c("Orthologs", "Non-Orthologs"),
early.late.indx = c(2, 4), intermediate.indx = 3,
statistic = "median")
x |
an instance of |
tissues |
a character vector identifying the tissues to be
investigated. Default is |
gene.classes |
a character vector identifying the gene classes to be
investigated. Default is |
early.late.indx |
A numeric vector identifying which entries of
|
intermediate.indx |
A single integer identifying which entry in
|
statistic |
a string identifying which statistic of |
A base::data.frame
with columns: 'Tissue',
'Alternative.Hypothesis', 'p.value', 'effect.size', 'p.value.adjusted'
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