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]