taiModified {CINmetrics}R Documentation

Modified Total Aberration Index

Description

Modified Total Aberration Index calculation takes the sum of lengths of each segment times its segmentation mean for each sample and divides it by the sum of the lengths of each sample.

Usage

taiModified(cnvData, segmentMean = 0, numProbes = NA)

Arguments

cnvData

dataframe containing following columns: Sample, Start, End, Num_Probes, Segment_Mean

segmentMean

numerical value for the minimum segment_mean cutoff/ threshold. Default is 0.2

numProbes

Number of Probes

Details

Modified Total Aberration Index uses all sample values instead of those in aberrant copy number state, thus does not remove the directionality from the score.

Modified\ Total\ Aberration\ Index = \frac {\sum^{R}_{i = 1} {d_i} \cdot {\bar{y}_{S_i}}} {\sum^{R}_{i = 1} {d_i}}

Value

Average of lengths weighted by segmentation mean for each unique sample

See Also

tai

Examples

taiModified(cnvData = maskCNV_BRCA)

[Package CINmetrics version 0.1.0 Index]