mle.getPatientSimilarity: Patient similarity using mutual information MLE metric of...
In lashmore/MolEndoMatch: Molecular Endophenotype Patient Matchmaking

View source: R/mle.getPatientSimilarity.r

This function calculates the universal distance between patients, using a mutual information metric, where self-information comes from the minimum encoding length of each patient's encoded modular perturbations in the background knowledge graph.

1	mle.getPatientSimilarity(ig, path, data.pvals, patient1, patient2)

`ig`	- An igraph object of the background knowledge graph.
`path`	- The filepath to a directory of the stored patient-specific RData files.
`data.pvals`	- The matrix that gives the perturbation strenght significance for all variables (columns) for each patient (rows)
`patient1`	- The row name in data.pvals corresponding to the first patient in the pair of patients being compared.
`patient2`	- The row name in data.pvals corresponding to the second patient in the pair of patients being compared.