RankingSoftthresholdT-methods {GeneSelector} | R Documentation

## Ranking via the 'soft-threshold' t-statistic

### Description

The 'soft-threshold' statistic is constructed using a linear regression model using the `L1` penalty (also referred to as LASSO penalty). In special cases (like here) the LASSO estimator can be calculated analytically and is then called 'soft threshold' estimator.

### Methods

The input (gene expression and class labels) can be given in three different ways:

x = "matrix", y = "numeric"
  signature 1
x = "matrix", y = "factor"
  signature 2
x = "ExpressionSet", y = "character"
  signature 3

For further argument and output information, consult RankingSoftthresholdT.

[Package GeneSelector version 1.4.0 Index]