Exploratory_Plots {NOISeq} | R Documentation

## Exploratory plots for expression data.

### Description

Standard generic function. Different types of plots showing the biological classification for detected features, the expression distribution across samples or biological groups, the detection of technical bias such as length, GCcontent or RNA composition, the dependence of expression on sequencing depth, etc.

### Usage

    explo.plot(object, ...)

### Arguments

`object` | Object generated with `dat()` function.
`...` | Any argument from `par`.

### Value

The explo.plot() function takes the object generated by dat() and draws the corresponding plot.

### Author(s)

Sonia Tarazona

### See Also

`Biodetection`,`CD`,`CountsBio`,`GCbias`,`lengthbias`,`Saturation`, `PCA`, `readData`, `addData`, `dat`.

### Examples

    ## Load the input object with the expression data and the annotations
    data(myCounts)

    ## Generating data for the plot "biodetection" and samples in columns 3 and 4 of expression data
    mydata2plot = dat(mydata, type = "biodetection", k = 0)

    ## Generating the corresponding plot
    explo.plot(mydata2plot)

[Package NOISeq version 2.28.0 Index]