#' @title Plot evolutionary signatures across transcriptomes after GATAI gene removal
#' @description Main function to visualize transcriptome indices after GATAI gene removal .
#' @param ExpressionSet a standard PhyloExpressionSet, DivergenceExpressionSet or PolymorphismsExpressionSet object.
#' @param measure type of transcriptome index that shall be computed. E.g.
#' \itemize{
#' \item \code{measure = "TAI"} (Transcriptome Age Index)
#' \item \code{measure = "TDI"} (Transcriptome Divergence Index)
#' \item \code{measure = "TPI"} (Transcriptome Polymorphism Index)
#' }
#' @param TestStatistic a string defining the type of test statistics to be used to quantify the statistical significance the present phylotranscriptomics pattern.
#' Possible values can be:
#' \itemize{
#' \item \code{TestStatistic} = \code{"FlatLineTest"} : Statistical test for the deviation from a flat line
#' \item \code{TestStatistic} = \code{"ReductiveHourglassTest"} : Statistical test for the existence of a hourglass shape (high-low-high pattern)
#' \item \code{TestStatistic} = \code{"EarlyConservationTest"} : Statistical test for the existence of a early conservation pattern (low-high-high pattern)
#' \item \code{TestStatistic} = \code{"LateConservationTest"} : Statistical test for the existence of a late conservation pattern (high-high-low pattern)
#' \item \code{TestStatistic} = \code{"ReverseHourglassTest"} : Statistical test for the existence of a reverse hourglass pattern (low-high-low pattern)
#' }
#' @param modules a list storing three elements for the \code{\link{ReductiveHourglassTest}}, \code{\link{EarlyConservationTest}}, \code{\link{LateConservationTest}},
#' or \code{\link{ReverseHourglassTest}}: early, mid, and late.
#' Each element expects a numeric vector specifying the developmental stages
#' or experiments that correspond to each module. For example:
#' \itemize{
#' \item \code{module} = \code{list(early = 1:2, mid = 3:5, late = 6:7)} divides a dataset storing seven developmental stages into 3 modules.
#' }
#' @param permutations a numeric value specifying the number of permutations to be performed for the \code{\link{FlatLineTest}}, \code{\link{EarlyConservationTest}}, \code{\link{LateConservationTest}}, \code{\link{ReductiveHourglassTest}} or \code{\link{ReverseHourglassTest}}.
#' @param lillie.test a boolean value specifying whether the Lilliefors Kolmogorov-Smirnov Test shall be performed.
#' @param p.value a boolean value specifying whether the p-value of the test statistic shall be printed as a subtitle.
#' @param shaded.area a boolean value specifying whether a shaded area shall
#' be drawn for the developmental stages defined to be the presumptive phylotypic period.
#' @param custom.perm.matrix a custom \code{\link{bootMatrix}} (permutation matrix) to perform the underlying test statistic visualized by \code{PlotSignature}. Default is \code{custom.perm.matrix = NULL}.
#' @param xlab label of x-axis.
#' @param ylab label of y-axis.
#' @param main figure title.
#' @param lwd line width.
#' @param alpha transparency of the shaded area (between [0,1]). Default is \code{alpha = 0.1}.
#' @param y.ticks number of ticks on the y-axis. Default is \code{ticks = 10}.
#' @param \dots parameters passed on to \code{\link{GATAI}}.
#' @author Filipa Martins Costa and Hajk-Georg Drost
#' @export
PlotSignatureGATAIGeneRemoval <- function(ExpressionSet,
measure = "TAI",
TestStatistic = "FlatLineTest",
modules = NULL,
permutations = 1000,
lillie.test = FALSE,
p.value = TRUE,
shaded.area = FALSE,
custom.perm.matrix = NULL,
xlab = "Ontogeny",
ylab = "Transcriptome Index",
main = "",
lwd = 4,
alpha = 0.1,
y.ticks = 10, ...) {
removed_gene_list <- GATAI(ExpressionSet, ...)
p_final <- myTAI::PlotSignature(dplyr::filter(ExpressionSet, !ExpressionSet[[2]] %in% as.character(removed_gene_list[[1]])),
measure = measure,
TestStatistic = TestStatistic,
modules = modules,
permutations = permutations,
lillie.test = lillie.test,
p.value = p.value,
shaded.area = shaded.area,
custom.perm.matrix = custom.perm.matrix,
xlab = xlab,
ylab = ylab,
main = paste(nrow(removed_gene_list), "Removed genes"),
lwd = lwd,
alpha = alpha,
y.ticks = y.ticks)
# plot_final <- cowplot::plot_grid(p1, p2, labels = c('A', 'B'), label_size = 18)
print(p_final)
return(p_final)
}
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