partitionData: partition feature vectors (pca_scores) and interaction mode...

In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli

Description

partition feature vectors (pca_scores) and interaction mode classifications into training and test sets for classification with KNN

Usage

partitionData(pooled_modes, pca_scores)

Arguments

pooled_modes	character vector representing interaction mode classifications pooled from n signal combinations
pca_scores	matrix of PCA scores generated from princomp()

Value

list with training scores, training modes, testing scores, and testing modes

Examples

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taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.