ZKfiltering {BioNERO} | R Documentation

## Filter outlying samples based on the standardized connectivity (Zk) method

### Description

Filter outlying samples based on the standardized connectivity (Zk) method

### Usage

    ZKfiltering(exp, zk = -2, cor_method = "spearman")

### Arguments

`exp` | A gene expression data frame with genes in row names and samples in column names or a 'SummarizedExperiment' object.
`zk` | Standardized connectivity threshold. Default is -2.
`cor_method` | Correlation method. One of "pearson", "biweight" or "spearman". Default is "spearman".

### Value

Filtered gene expression data frame or 'SummarizedExperiment' object.

### Author(s)

Fabricio Almeida-Silva

### References

Oldham, M. C., Langfelder, P., & Horvath, S. (2012). Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease. BMC systems biology, 6(1), 1-18.

### See Also

`adjacency`

### Examples

    data(zma.se)
    filt_exp <- ZKfiltering(zma.se)

[Package BioNERO version 1.0.4 Index]