Package: DFP 1.70.0

Rodrigo Alvarez-Glez

DFP: Gene Selection

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.

Authors:R. Alvarez-Gonzalez, D. Glez-Pena, F. Diaz, F. Fdez-Riverola

DFP_1.70.0.tar.gz
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DFP_1.70.0.tgz(r-4.6-any)DFP_1.70.0.tgz(r-4.5-any)
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DFP_1.70.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DFP/json (API)

# Install 'DFP' in R:
install.packages('DFP', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:DFP-1.71.0(bioc 3.24)DFP-1.70.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarraydifferentialexpression

3.78 score 10 scripts 442 downloads 3 mentions 11 exports 3 dependencies

Last updated from:361292aca6 (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR134
linux-devel-x86_64NOTE166
source / vignettesOK136
linux-release-x86_64NOTE156
macos-release-arm64NOTE75
macos-oldrel-arm64NOTE68
windows-develNOTE76
windows-releaseNOTE283
windows-oldrelNOTE169
wasm-releaseOK88

Exports:calculateDiscriminantFuzzyPatterncalculateFuzzyPatternscalculateMembershipFunctionsdiscretizeExpressionValuesdiscriminantFuzzyPatternplotDiscriminantFuzzyPatternplotMembershipFunctionsreadCSVshowshowDiscreteValuesshowFuzzyPatterns

Dependencies:BiobaseBiocGenericsgenerics

Howto: Discriminat Fuzzy Pattern

Rendered fromDFP.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2013-11-01
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
DFP Package OverviewDFP-package DFP
Calculates the Discriminant Fuzzy Pattern to select significative genescalculateDiscriminantFuzzyPattern
Calculates a Fuzzy Pattern for each category of the samplescalculateFuzzyPatterns
Calculates Membership FunctionscalculateMembershipFunctions
Function to discretize gene expression datadiscretizeExpressionValues
Discriminant Fuzzy Pattern to filter genesdiscriminantFuzzyPattern
Class "ExpressionLevel"ExpressionLevel-class show,ExpressionLevel-method
Class "HighExpressionLevel"computeMembership,HighExpressionLevel-method HighExpressionLevel-class setValues,HighExpressionLevel-method
Class "LowExpressionLevel"computeMembership,LowExpressionLevel-method LowExpressionLevel-class setValues,LowExpressionLevel-method
Class "MediumExpressionLevel"computeMembership,MediumExpressionLevel-method MediumExpressionLevel-class setValues,MediumExpressionLevel-method
Plots the Discriminant Fuzzy Pattern of the relevant genesplotDiscriminantFuzzyPattern
Plots the Membership Functions (Low, Medium, High) used to discretize gene expression valuesplotMembershipFunctions
Creates an ExpressionSet with an AnnotatedDataFrame from CSV filesreadCSV
A sample ExpressionSet objectrmadataset
Prints the slots (attributes) of an ExpressionLevel objectshow-methods
Prints the labels to which the algorithm converts the gene expression valuesshowDiscreteValues
Plots the Fuzzy Patterns corresponding to a classshowFuzzyPatterns