hlpr_assess_trajectory_trends: Assess trajectory ranking.

In kueckelj/SPATA: A Toolbox for Spatial Gene Expression Analysis

Assess trajectory ranking.

Description

Takes a ranked trajectory data.frame and returns a data.frame that informs about how well the ranked gene- or gene set expression-trends fitted certain patterns.

Usage

hlpr_assess_trajectory_trends(rtdf, verbose = TRUE)

Arguments

rtdf	A ranked trajectory data.frame.
pattern	The pattern(s) you are interested in specified as a character vector. If set to NULL all patterns are included.
max_auc	Numeric value. The maximum area-under-the-curve-value allowed.
names_only	Logical. If set to TRUE only the names of the assessed ranking are returned as a character vector. (Convenient to use as input for functions taking gene set- or gene vectors as input.)

Value

A data.frame arranged by the residuals area-under-the-curve-values describing how well a model fitted the expression trend of a gene or gene set.

kueckelj/SPATA documentation built on March 22, 2022, 9:59 p.m.