visualiseBranchPointStats: Visualise Branch Point Stats

In AnnaLaddach/TrajectoryGeometry: This Package Discovers Directionality in Time and Pseudo-times Series of Gene Expression Patterns

Visualise Branch Point Stats

Description

This function creates plots and extracts statistics for analysing branch points. It returns plots and underlying data for visualising distance metrics and -log10 transformed pvalues (comparison to random trajectories) for trajectories with different starting points.

Usage

visualiseBranchPointStats(branchPointData, average = "mean")

Arguments

branchPointData	- the result of analyseBranchPoint
average	- if there are multiple distances available for each sampled trajectory, calculate the average using "mean" or "median" (defaults to "mean").

Value

a list containing: branchPointValues - dataframe containing data underlying distance plot in long format pValues- dataframe containing data underlying p-value plot in long format distancePlot - ggplot object, violin plots of distance metric for sampled paths for different trajectory different starting points pValue - ggplot object, line plot of -log10 transformed p-values for comparing sampled paths to random paths for different trajectory starting points

Examples

cholBranchPointStats = visualiseBranchPointStats(chol_branch_point_results)

AnnaLaddach/TrajectoryGeometry documentation built on Oct. 18, 2024, 5:57 p.m.