k.test: K-Test of Statistical Association

In KODAMA: Knowledge Discovery by Accuracy Maximization

K-Test of Statistical Association

Description

This function performs a permutation test using PLS to assess association between the KODAMA output and any additional related parameters such as clinical metadata.

Usage

k.test(data, labels, n = 100)

Arguments

data	a matrix.
labels	a classification vector.
n	number of iterations of the permutation test.

Value

The p-value of the test.

Author(s)

Stefano Cacciatore

References

Cacciatore S, Luchinat C, Tenori L
Knowledge discovery by accuracy maximization.
Proc Natl Acad Sci U S A 2014;111(14):5117-22. doi: 10.1073/pnas.1220873111. Link

Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA
KODAMA: an updated R package for knowledge discovery and data mining.
Bioinformatics 2017;33(4):621-623. doi: 10.1093/bioinformatics/btw705. Link

See Also

KODAMA.matrix,KODAMA.visualization

Examples

  data(iris)
 data=iris[,-5]
 labels=iris[,5]
 kk=KODAMA.matrix(data,FUN="KNN",f.par=2)
 kkplot=KODAMA.visualization(kk,"t-SNE")
 k1=k.test(kkplot,labels)
 print(k1)
 k2=k.test(kkplot,sample(labels))
 print(k2)

KODAMA documentation built on Jan. 12, 2023, 5:08 p.m.