DataFilter {IdMappingAnalysis} | R Documentation

## The DataFilter class

### Description

Package: IdMappingAnalysis
Class DataFilter

`Object`
`~~|`
`~~+--``DataFilter`

Directly known subclasses:

public static class DataFilter
extends Object

Serves as a wrapper for data data filtering functions define as static methods of the DataFilter class.

### Usage

    DataFilter()

### Fields and Methods

Methods:

| `do.apply` | Filter experiment using constraints.
| `fisherTransform` | Compute the Fisher transform.
| `fisherTransformInverse` | Compute the Fisher inversed transform.
| `fisherTransformJacobean` | Compute the Fisher transform Jacobean.
| `logTen` | Compute log10 of a numerical vector combined with thresholding on minimum value.
| `minAvgCountConstraint` | Perform mean based thresholding of an input vector.
| `minCountConstraint` | Perform minimum count based thresholding of an input vector.
| `minCountGroupConstraint` | Perform minimum count based thresholding of an input vector subdivided into groups.
| `removeNASeries` | Remove NA series from the experiment set.

Methods inherited from Object:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save

### Author(s)

Alex Lisovich, Roger Day

[Package IdMappingAnalysis version 1.26.0 Index]