ImputeKnn

A matrix of real values where each row corresponds to a patient
and each column is a gene.

The rows (columns) with more than (default 50%) of
missing values are removed

ratio


Impute missing values (NAs) using K-nearest neighbour averaging


A hierarchical Bayesian approach to assess functional impact of mutations on gene expression in cancer. Given a patient-gene matrix encoding the presence/absence of a mutation, a patient-gene expression matrix encoding continuous value expression data, and a graph structure encoding whether two genes are known to be functionally related, xseq outputs: a) the probability that a recurrently mutated gene g influences gene expression across the population of patients;
and b) the probability that an individual mutation in gene g in an individual patient m influences expression within that patient.

ImputeKnn: Impute missing values (NAs) using K-nearest neighbour averaging

Description

Usage

Arguments

Value

Examples