compute_zscore {mdp} | R Documentation

## Computes the thresholded Z score Plots the Z score using control samples to compute the average and standard deviation

### Description

Computes the thresholded Z score Plots the Z score using control samples to compute the average and standard deviation

### Usage

    compute_zscore(data, control_samples, measure = c("mean", "median"),
      std = 2)

### Arguments

`data` | Gene expression data with gene symbols in rows, sample names in columns
`control_samples` | Character vector specifying the control sample names
`measure` | Either 'mean' or 'median'. 'mean' uses mean and standard deviation. 'median' uses the median and the median absolute deviation to estimate the standard devation (modified z-score).
`std` | Set as default to 2. This controls the standard deviation threshold for the Z-score calculation. #' Normalised expression values less than 'std' will be set to 0.

### Value

zscore data frame

### Examples

    control_samples <- example_pheno$Sample[example_pheno$Class == 'baseline']
    compute_zscore(example_data, control_samples,'median',2)

[Package mdp version 1.6.0 Index]