calculateDiscriminantFuzzyPattern

<code><a href="/link/ExpressionSet?package=DFP&version=1.30.0&to=Biobase%3Aclass.ExpressionSet" rd-options="Biobase:class.ExpressionSet" data-mini-rdoc="Biobase:class.ExpressionSet::ExpressionSet">ExpressionSet</a></code> with numeric values containing gene expression values (rows) of samples belonging to different categories (columns).The <code><a href="/link/ExpressionSet?package=DFP&version=1.30.0&to=Biobase%3Aclass.ExpressionSet" rd-options="Biobase:class.ExpressionSet" data-mini-rdoc="Biobase:class.ExpressionSet::ExpressionSet">ExpressionSet</a></code> also contains an <code><a href="/link/AnnotatedDataFrame?package=DFP&version=1.30.0&to=Biobase%3Aclass.AnnotatedDataFrame" rd-options="Biobase:class.AnnotatedDataFrame" data-mini-rdoc="Biobase:class.AnnotatedDataFrame::AnnotatedDataFrame">AnnotatedDataFrame</a></code> with metadata regarding the classes to which each sample belongs.

rmadataset

Genes belonging to each Fuzzy Patterns. There are one FP for each class.Includes an attribute <var>ifs</var> with the Impact Factor for each category.

Calculates the Discriminant Fuzzy Pattern (DFP) that includes those genes present in two or more FPs with different assigned labels.

manip

This package provides a supervised technique able to
identify differentially expressed genes, based on the
construction of \emph{Fuzzy Patterns} (FPs). The Fuzzy Patterns
are built by means of applying 3 Membership Functions to
discretized gene expression values.

Rodrigo AlvarezGlez

Gene Selection

calculateDiscriminantFuzzyPattern function

<code><a href="ExpressionSet" rd-options="Biobase:class.ExpressionSet">ExpressionSet</a></code> with numeric values containing gene expression values (rows) of samples belonging to different categories (columns).The <code><a href="ExpressionSet" rd-options="Biobase:class.ExpressionSet">ExpressionSet</a></code> also contains an <code><a href="AnnotatedDataFrame" rd-options="Biobase:class.AnnotatedDataFrame">AnnotatedDataFrame</a></code> with metadata regarding the classes to which each sample belongs.

calculateDiscriminantFuzzyPattern: Calculates the Discriminant Fuzzy Pattern to select significative genes

Description

Usage

Arguments

Value

References