Package: CeTF 1.17.0

Carlos Alberto Oliveira de Biagi Junior

CeTF: Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis

This package provides the necessary functions for performing the Partial Correlation coefficient with Information Theory (PCIT) (Reverter and Chan 2008) and Regulatory Impact Factors (RIF) (Reverter et al. 2010) algorithm. The PCIT algorithm identifies meaningful correlations to define edges in a weighted network and can be applied to any correlation-based network including but not limited to gene co-expression networks, while the RIF algorithm identify critical Transcription Factors (TF) from gene expression data. These two algorithms when combined provide a very relevant layer of information for gene expression studies (Microarray, RNA-seq and single-cell RNA-seq data).

Authors:Carlos Alberto Oliveira de Biagi Junior [aut, cre], Ricardo Perecin Nociti [aut], Breno Osvaldo Funicheli [aut], João Paulo Bianchi Ximenez [ctb], Patrícia de Cássia Ruy [ctb], Marcelo Gomes de Paula [ctb], Rafael dos Santos Bezerra [ctb], Wilson Araújo da Silva Junior [aut, ths]

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CeTF.pdf |CeTF.html
CeTF/json (API)
NEWS

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • CeTFdemo - CeTFdemo class object example
  • RIF_input - Regulatory Impact Factors (RIF) input
  • TFs - Transcripition Factors data
  • enrichdemo - Enrichment data
  • refGenes - List of reference genes for 5 different organisms to perform enrichment
  • simCounts - Simulated counts data
  • simNorm - Simulated normalized data

On BioConductor:CeTF-1.17.0(bioc 3.20)CeTF-1.16.0(bioc 3.19)

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

sequencingrnaseqmicroarraygeneexpressiontranscriptionnormalizationdifferentialexpressionsinglecellnetworkregressionchipseqimmunooncologycoverage

29 exports 4.30 score 199 dependencies 2 mentions 8 scripts 180 downloads

Last updated 5 months agofrom:79880710e9. Checks:ERROR: 1 OK: 8. Indexed: yes.

TargetResultDate
Doc / VignettesFAILSep 30 2024
R-4.5-win-x86_64OKSep 30 2024
R-4.5-linux-x86_64OKSep 30 2024
R-4.4-win-x86_64OKSep 30 2024
R-4.4-mac-x86_64OKSep 30 2024
R-4.4-mac-aarch64OKSep 30 2024
R-4.3-win-x86_64OKSep 30 2024
R-4.3-mac-x86_64OKSep 30 2024
R-4.3-mac-aarch64OKSep 30 2024

Exports:.valid.Assaysbivar.awkCircosTargetsclustCoefclustCoefPercentagedensityPlotdiffusionenrichPlotexpDiffgetDatagetDEgetEnrichgetGroupGOgtfToBedheatPlothistPlotInputDatanetConditionsPlotnetGOTFPlotNetworkDatanormExpOutputDataPCITpcitCRIFRIFPlotrunAnalysisSmearPlottolerance

Dependencies:abindAnnotationDbiapeaplotaskpassbackportsbase64encbase64urlBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64bitopsblobbootbroomcachemcarcarDatacaToolscirclizecliclueclusterclusterProfilercodacodetoolscolorspaceComplexHeatmapcorrplotcowplotcpp11crayoncurldata.tableDBIDelayedArrayDerivDESeq2digestdoBydoParallelDOSEdplyrenrichplotevaluatefansifarverfastmapfastmatchfgseaforcatsforeachformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesGenomicTools.fileHandlerGetoptLongGGallyggforceggfunggnetworkggnewscaleggplot2ggplotifyggpubrggraphggrepelggsciggsignifggstatsggtreeGlobalOptionsglueGO.dbGOSemSimgplotsgraphgraphlayoutsgridExtragridGraphicsgsongtablegtoolshmshtmltoolshttrigraphIRangesIRdisplayIRkernelisobanditeratorsjsonliteKEGGRESTKernSmoothlabelinglambda.rlatticelazyevallifecyclelme4locfitmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnetworknlmenloptrnnetnumDerivopensslpatchworkpbdZMQpbkrtestpillarpkgconfigplogrplyrpngpolyclippolynomprettyunitsprogresspurrrquantregqvalueR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppEigenRCurlRCy3reprreshape2rjsonRJSONIOrlangRSQLiterstatixS4ArraysS4VectorsscalesscatterpieshadowtextshapesnasnowsnpStatsSparseArraySparseMstatnet.commonstringistringrSummarizedExperimentsurvivalsyssystemfontstibbletidygraphtidyrtidyselecttidytreetreeiotweenrUCSC.utilsutf8uuidvctrsviridisviridisLitewithrXMLXVectoryulab.utilszlibbioc

Analyzing Regulatory Impact Factors and Partial Correlation and Information Theory

Rendered fromCeTF.Rmdusingknitr::rmarkdownon Sep 30 2024.

Last update: 2021-08-10
Started: 2020-01-03

Readme and manuals

Help Manual

Help pageTopics
Summary statistics from two variablesbivar.awk
The CeTF ClassCeTF CeTF-class
CeTFdemo class object exampleCeTFdemo
Circos plot for the Transcription Factors/genes targets.CircosTargets
Calculate the clustering coefficientclustCoef
Calculate the clustering coefficient as a percentageclustCoefPercentage
Density distribution of correlation coefficients and significant PCIT valuesdensityPlot
Network diffusion analysisdiffusion
Enrichment dataenrichdemo
Plots to visualize the enrichment analysis resultsenrichPlot
Differential expression analysisexpDiff
Data accessor for a CeTF class object.getData getData,CeTF-method
Differential Expression accessor for a CeTF class object.getDE getDE,CeTF-method
Enrichment analysis for genes of networkgetEnrich
Functional Profile of a gene set at specific GO levelgetGroupGO
Converts GTF to BEDgtfToBed
Heatmap-like functional classificationheatPlot
Histogram of connectivity distributionhistPlot
Input data accessor for a CeTF class object.InputData InputData,CeTF-method
Network plot of gene-gene/gene-TFs interactionsnetConditionsPlot
Plot a network for Ontologies, genes and TFsnetGOTFPlot
Networks data accessor for a CeTF class object.NetworkData NetworkData,CeTF-method
Normalized expression transformationnormExp
Output data accessor for a CeTF class object.OutputData OutputData,CeTF-method
Partial Correlation and Information Theory (PCIT) analysisPCIT
A helper to calculate PCIT implemented in C/C++pcitC
List of reference genes for 5 different organisms to perform enrichmentrefGenes
Regulatory Impact Factors (RIF) analysisRIF
Regulatory Impact Factors (RIF) inputRIF_input
Relationship plots between RIF1, RIF2 and DE genesRIFPlot
Whole analysis of Regulatory Impact Factors (RIF) and Partial Correlation and Information Theory analysis (PCIT)runAnalysis
Simulated counts datasimCounts
Simulated normalized datasimNorm
Smear plot for Differentially Expressed genes and TFsSmearPlot
Transcripition Factors dataTFs
Tolerance level between 3 pairwise correlations implemented in C/C++tolerance