mle.getPatientBitstrings: Generate patient-specific bitstrings from adaptive network...

Description Usage Arguments Examples

View source: R/mle.getPatientBitstrings.r

Description

This function calculates the bitstrings (1 is a hit; 0 is a miss) associated with the adaptive network walk made by the diffusion algorithm trying to find the variables in the encoded subset, against the background knowledge graph.

Usage

1
mle.getPatientBitstrings(ig, path, data.pvals, patient)

Arguments

ig

- An igraph object of the background knowledge graph.

path

- The filepath to a directory you will store patient-specific RData files in.

data.pvals

- The matrix that gives the perturbation strenght significance for all variables (columns) for each patient (rows)

patient

- The row number (integer) in data.pvals associated with the patient being processed.

Examples

1
mle.getPatientBitstrings(ig, path, data.pvals, patient)

lashmore/MolEndoMatch documentation built on May 5, 2019, 8:02 p.m.