compute_individual_signature_accuracy: Compute Individual Signature Accuracy

In eyzhao/msimR: Simulation of Somatic Single Nucleotide Variant Count Vectors for Mutation Signature Analysis

Description

Each n-of-1 mutation signature method computes the exposure of each signature (its contribution to the mutation burden). These numeric outcomes are stored in the "exposure" column of the calculated_exposures table in simulated data output. In order to evaluate each method's accuracy at assigning exposure values, this method uses various distance metrics to compare the true signatures which gave rise to a simulated mutation with the reconstructed signatures estimated by the signature method.

Usage

compute_individual_signature_accuracy(simulated_data)

Arguments

simulated_data

The data object output by simulate_samples() with exposures calculated using one of the signature exposure calculation methods.

Details

Unlike compute_quantitative_accuracy(), this function computes the individual accuracy of each signature. This allows one to estimate how accurately each individual signature is predicted with a given method.

Value

A data frame with each signature's accuracy

eyzhao/msimR documentation built on June 6, 2019, 7:53 a.m.