Package: qpgraph 2.41.0
qpgraph: Estimation of genetic and molecular regulatory networks from high-throughput genomics data
Estimate gene and eQTL networks from high-throughput expression and genotyping assays.
Authors:
qpgraph_2.41.0.tar.gz
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qpgraph.pdf |qpgraph.html✨
qpgraph/json (API)
NEWS
# Install 'qpgraph' in R: |
install.packages('qpgraph', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- filtered.regulon6.1 - Preprocessed microarray oxygen deprivation data and filtered RegulonDB data
- gds680.eset - Preprocessed microarray oxygen deprivation data and filtered RegulonDB data
- subset.filtered.regulon6.1 - Preprocessed microarray oxygen deprivation data and filtered RegulonDB data
- subset.gds680.eset - Preprocessed microarray oxygen deprivation data and filtered RegulonDB data
On BioConductor:qpgraph-2.41.0(bioc 3.21)qpgraph-2.40.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraygeneexpressiontranscriptionpathwaysnetworkinferencegraphandnetworkgeneregulationgeneticsgeneticvariabilitysnpsoftware
Last updated 22 days agofrom:9b522d43a9. Checks:OK: 3 NOTE: 2 WARNING: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | NOTE | Oct 31 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 31 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 31 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 31 2024 |
Exports:addeQTLaddGeneAssociationaddGenesalleQTLallGeneAssociationsciseQTLdetdeterminantdRegularGraphParamdRegularMarkedGraphParameQTLcrosseQTLcrossParameQTLnetworkEstimateeQTLnetworkEstimationParamerGraphParamerMarkedGraphParamfilterCollinearitiesgeneAnnotationgeneNamesgeneticMapggDatagraphHMgmmmarkerNamesphysicalMapplotqpAllCItestsqpAnyGraphqpAvgNrrqpBoundaryqpCItestqpCliqueqpCliqueNumberqpCovqpEdgeCorqpEdgeNrrqpFunctionalCoherenceqpG2SigmaqpGenNrrqpGetCliquesqpGraphqpGraphDensityqpHistqpHTFqpImportNrrqpIPFqpK2ParCorqpNrrqpPACqpPathWeightqpPCCqpPlotMapqpPlotNetworkqpPrecisionRecallqpPRscoreThresholdqpRndGraphqpRndWishartqpTopPairsqpUnifRndAssociationqpUpdateCliquesRemovingrcmvnormreQTLcrossresetCutoffsrgraphBAMrHMgmmrmvnormrUGgmmshowsim.crosssummarytranseQTLUGgmmvarExplained
Dependencies:abindannotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemclicodetoolscpp11crayoncurlDBIDelayedArrayfastmapformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluegraphhttrIRangesjsonliteKEGGRESTlambda.rlatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimemvtnormopensslpkgconfigplogrpngqtlR6RCurlrestfulrRgraphvizRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsvctrsXMLxtableXVectoryamlzlibbioc
Estimate eQTL networks using qpgraph
Rendered fromeQTLnetworks.Rnw
usingutils::Sweave
on Oct 31 2024.Last update: 2014-12-09
Started: 2014-10-10
Reverse-engineer transcriptional regulatory networks using qpgraph
Rendered fromqpTxRegNet.Rnw
usingutils::Sweave
on Oct 31 2024.Last update: 2014-02-04
Started: 2013-03-09
Simulating molecular regulatory networks using qpgraph
Rendered fromqpgraphSimulate.Rnw
usingutils::Sweave
on Oct 31 2024.Last update: 2014-12-09
Started: 2013-03-21
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimation of genetic and molecular regulatory networks from high-throughput genomics data | qpgraph-package qpgraph |
Preprocessed microarray oxygen deprivation data and filtered RegulonDB data | EcoliOxygen filtered.regulon6.1 gds680.eset subset.filtered.regulon6.1 subset.gds680.eset |
eQTL experimental cross model class | $,eQTLcross-method addeQTL addeQTL,eQTLcross-method addGeneAssociation addGeneAssociation,eQTLcross-method addGenes addGenes,eQTLcross,integer-method addGenes,eQTLcross,missing-method addGenes,eQTLcross,numeric-method alleQTL,eQTLcross-method ciseQTL,eQTLcross,missing-method ciseQTL,eQTLcross,numeric-method eQTLcross eQTLcross,map,matrix,graphBAM-method eQTLcross,map,matrix,HMgmm-method eQTLcross,map,matrix,matrix-method eQTLcross,map,missing,HMgmm-method eQTLcross,map,missing,matrix-method eQTLcross,map,missing,missing-method eQTLcross-class eQTLcrossParam eQTLcrossParam-class geneNames,eQTLcross-method markerNames,eQTLcross-method names,eQTLcross-method plot,eQTLcross,ANY-method reQTLcross reQTLcross,eQTLcross,missing-method reQTLcross,eQTLcrossParam,missing-method reQTLcross,integer,eQTLcross-method reQTLcross,integer,eQTLcrossParam-method reQTLcross,missing,eQTLcross-method reQTLcross,missing,eQTLcrossParam-method reQTLcross,numeric,eQTLcross-method reQTLcross,numeric,eQTLcrossParam-method show,eQTLcross-method show,eQTLcrossParam-method sim.cross sim.cross,map,eQTLcross-method sim.cross,map,matrix-method transeQTL transeQTL,eQTLcross,missing-method transeQTL,eQTLcross,numeric-method |
eQTL network model class | alleQTL alleQTL,eQTLnetwork-method allGeneAssociations allGeneAssociations,eQTLnetwork-method ciseQTL ciseQTL,eQTLnetwork,missing-method ciseQTL,eQTLnetwork,numeric-method eQTLnetwork eQTLnetwork-class geneAnnotation,eQTLnetwork-method geneNames,eQTLnetwork-method geneticMap,eQTLnetwork-method graph graph,eQTLnetwork-method markerNames,eQTLnetwork-method physicalMap,eQTLnetwork-method plot,eQTLnetwork,ANY-method resetCutoffs resetCutoffs,eQTLnetwork-method show,eQTLnetwork-method varExplained varExplained,eQTLnetworkEstimationParam,eQTLnetwork-method |
Estimation of a eQTL network from genetical genomics data | eQTLnetworkEstimate eQTLnetworkEstimate,eQTLnetworkEstimationParam,formula,eQTLnetwork-method eQTLnetworkEstimate,eQTLnetworkEstimationParam,formula,missing-method eQTLnetworkEstimate,eQTLnetworkEstimationParam,missing,eQTLnetwork-method |
eQTL network parameter model class | eQTLnetworkEstimationParam eQTLnetworkEstimationParam-class geneAnnotation geneAnnotation,eQTLnetworkEstimationParam-method geneNames geneNames,eQTLnetworkEstimationParam-method geneticMap geneticMap,eQTLnetworkEstimationParam-method ggData ggData,eQTLnetworkEstimationParam-method markerNames markerNames,eQTLnetworkEstimationParam-method physicalMap physicalMap,eQTLnetworkEstimationParam-method show,eQTLnetworkEstimationParam-method |
Filter collinearities | filterCollinearities |
Graph parameter classes | dRegularGraphParam dRegularGraphParam-class dRegularMarkedGraphParam dRegularMarkedGraphParam-class erGraphParam erGraphParam-class erMarkedGraphParam erMarkedGraphParam-class graphParam-class markedGraphParam-class plot,graphBAM,ANY-method rgraphBAM rgraphBAM,dRegularGraphParam,missing-method rgraphBAM,erGraphParam,missing-method rgraphBAM,graphParam,missing-method rgraphBAM,integer,dRegularGraphParam-method rgraphBAM,integer,erGraphParam-method rgraphBAM,integer,graphParam-method rgraphBAM,missing,dRegularGraphParam-method rgraphBAM,missing,erGraphParam-method rgraphBAM,missing,graphParam-method rgraphBAM,numeric,dRegularGraphParam-method rgraphBAM,numeric,erGraphParam-method rgraphBAM,numeric,graphParam-method show,graphParam-method |
Homogeneous mixed graphical Markov model | $,HMgmm-method dim,HMgmm-method dimnames,HMgmm-method HMgmm HMgmm,graphBAM-method HMgmm,matrix-method HMgmm,missing-method HMgmm-class names,HMgmm-method plot,HMgmm,ANY-method rcmvnorm rcmvnorm,ANY,HMgmm-method rHMgmm rHMgmm,graphBAM,missing-method rHMgmm,integer,graphBAM-method rHMgmm,integer,markedGraphParam-method rHMgmm,integer,matrix-method rHMgmm,markedGraphParam,missing-method rHMgmm,matrix,missing-method rHMgmm,missing,graphBAM-method rHMgmm,missing,markedGraphParam-method rHMgmm,missing,matrix-method rHMgmm,numeric,graphBAM-method rHMgmm,numeric,markedGraphParam-method rHMgmm,numeric,matrix-method show,HMgmm-method show,HMgmmSummary-method summary,HMgmm-method |
Tests of conditional independence | qpAllCItests qpAllCItests,matrix-method |
A graph | qpAnyGraph |
Average non-rejection rate estimation | qpAvgNrr qpAvgNrr,data.frame-method qpAvgNrr,ExpressionSet-method qpAvgNrr,matrix-method |
Maximum boundary size of the resulting qp-graphs | qpBoundary |
Conditional independence test | qpCItest qpCItest,cross-method qpCItest,data.frame-method qpCItest,ExpressionSet-method qpCItest,matrix-method qpCItest,SsdMatrix-method |
Complexity of the resulting qp-graphs | qpClique |
Clique number | qpCliqueNumber |
Calculation of the sample covariance matrix | qpCov |
Non-rejection rate estimation for a pair of variables | qpEdgeCor qpEdgeCor,matrix-method qpEdgeCor,UGgmm-method qpEdgeNrr qpEdgeNrr,data.frame-method qpEdgeNrr,ExpressionSet-method qpEdgeNrr,matrix-method qpEdgeNrr,SsdMatrix-method |
Functional coherence estimation | qpFunctionalCoherence qpFunctionalCoherence,list-method qpFunctionalCoherence,lsCMatrix-method qpFunctionalCoherence,lspMatrix-method qpFunctionalCoherence,lsyMatrix-method qpFunctionalCoherence,matrix-method |
Random covariance matrix | qpG2Sigma |
Generalized non-rejection rate estimation | qpGenNrr qpGenNrr,data.frame-method qpGenNrr,ExpressionSet-method qpGenNrr,list-method qpGenNrr,matrix-method |
Clique list | qpGetCliques |
The qp-graph | $,qpGraph-method names,qpGraph-method qpGraph qpGraph,dspMatrix-method qpGraph,matrix-method qpGraph-class show,qpGraph-method |
Densities of resulting qp-graphs | qpGraphDensity |
Histograms of non-rejection rates | qpHist |
Hastie Tibshirani Friedman iterative regression algorithm | qpHTF |
Import non-rejection rates | qpImportNrr |
Iterative proportional fitting algorithm | qpIPF |
Partial correlation coefficients | qpK2ParCor |
Non-rejection rate estimation | qpNrr qpNrr,cross-method qpNrr,data.frame-method qpNrr,ExpressionSet-method qpNrr,matrix-method |
Estimation of partial correlation coefficients | qpPAC qpPAC,data.frame-method qpPAC,ExpressionSet-method qpPAC,matrix-method |
Calculation of path weights | qpPathWeight qpPathWeight,dspMatrix-method qpPathWeight,matrix-method |
Estimation of Pearson correlation coefficients | qpPCC qpPCC,data.frame-method qpPCC,ExpressionSet-method qpPCC,matrix-method |
Plots a map of associated pairs | qpPlotMap |
Plots a graph | qpPlotNetwork |
Calculation of precision-recall curves | qpPrecisionRecall |
Calculation of scores thresholds attaining nominal precision or recall levels | qpPRscoreThreshold |
Undirected random d-regular graphs | qpRndGraph |
Random Wishart distribution | qpRndWishart |
Report pairs of variables | qpTopPairs |
Uniformly random association values | qpUnifRndAssociation |
Update clique list when removing one edge | qpUpdateCliquesRemoving |
Sum of squares and deviations Matrices | det,SsdMatrix-method determinant,SsdMatrix,logical-method determinant,SsdMatrix,missing-method dim,SsdMatrix-method dimnames,SsdMatrix-method show,SsdMatrix-method SsdMatrix-class |
Undirected Gaussian graphical Markov model | $,UGgmm-method dim,UGgmm-method dimnames,UGgmm-method names,UGgmm-method plot,UGgmm,ANY-method rmvnorm rmvnorm,integer,numeric-method rmvnorm,numeric,numeric-method rmvnorm,numeric,UGgmm-method rUGgmm rUGgmm,graphBAM,missing-method rUGgmm,graphParam,missing-method rUGgmm,integer,graphBAM-method rUGgmm,integer,graphParam-method rUGgmm,integer,matrix-method rUGgmm,matrix,missing-method rUGgmm,missing,graphBAM-method rUGgmm,missing,graphParam-method rUGgmm,missing,matrix-method rUGgmm,numeric,graphBAM-method rUGgmm,numeric,graphParam-method rUGgmm,numeric,matrix-method show,UGgmm-method show,UGgmmSummary-method summary,UGgmm-method UGgmm UGgmm,graphBAM-method UGgmm,matrix-method UGgmm,missing-method UGgmm-class |