MBMethPred (version 0.1.4.2)

KNearestNeighborModel: K nearest neighbor model

Description

A function to train a K nearest neighbor model to classify medulloblastoma subgroups using DNA methylation beta values (Illumina Infinium HumanMethylation450). Prediction is followed by training if new data is provided.

Value

A list

Arguments

SplitRatio

Train and test split ratio. A value greater or equal to zero and less than one.

CV

The number of folds for cross-validation. It should be greater than one.

K

The number of nearest neighbors.

NCores

The number of cores for parallel computing.

NewData

A methylation beta values input from the ReadMethylFile function.

Examples

set.seed(111)
knn <- KNearestNeighborModel(SplitRatio = 0.8,
                             CV = 3,
                             K = 3,
                             NCores = 1,
                             NewData = NULL)