calculateMembershipFunctions

<code><a rd-options="Biobase:class.ExpressionSet" href="/link/ExpressionSet?package=DFP&version=1.30.0&to=Biobase%3Aclass.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 rd-options="Biobase:class.ExpressionSet" href="/link/ExpressionSet?package=DFP&version=1.30.0&to=Biobase%3Aclass.ExpressionSet" data-mini-rdoc="Biobase:class.ExpressionSet::ExpressionSet">ExpressionSet</a></code> also contains an <code><a rd-options="Biobase:class.AnnotatedDataFrame" href="/link/AnnotatedDataFrame?package=DFP&version=1.30.0&to=Biobase%3Aclass.AnnotatedDataFrame" data-mini-rdoc="Biobase:class.AnnotatedDataFrame::AnnotatedDataFrame">AnnotatedDataFrame</a></code> with metadata regarding the classes to which each sample belongs.

rmadataset

Numeric value to omit odd values (a way of normalization). 
 Higher values imply that less samples of a gene are considered as odd. If <code><var>skipFactor</var>=0</code> do NOT skip.
 <code>Default value = 3</code>. <code>Range[0,)</code>.

skipFactor

Calculates the Membership Functions. These functions are used in the next step (<code><a rd-options="DFP:discretizeExpressionValues" href="/link/discretizeExpressionValues?package=DFP&version=1.30.0&to=DFP%3AdiscretizeExpressionValues" data-mini-rdoc="DFP:discretizeExpressionValues::discretizeExpressionValues">discretizeExpressionValues</a></code>) to discretize gene expression data.

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

calculateMembershipFunctions 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.

Numeric value to omit odd values (a way of normalization).Higher values imply that less samples of a gene are considered as odd. If <code><var>skipFactor</var>=0</code> do NOT skip.<code>Default value = 3</code>. <code>Range[0,)</code>.

Calculates the Membership Functions. These functions are used in the next step (<code><a href="discretizeExpressionValues" rd-options="DFP:discretizeExpressionValues">discretizeExpressionValues</a></code>) to discretize gene expression data.

calculateMembershipFunctions: Calculates Membership Functions

Description

Usage

Arguments

Value

References