Package: PANR 1.53.0

Xin Wang

PANR: Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations

This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.

Authors:Xin Wang <[email protected]>

PANR_1.53.0.tar.gz
PANR_1.53.0.zip(r-4.5)PANR_1.53.0.zip(r-4.4)PANR_1.53.0.zip(r-4.3)
PANR_1.53.0.tgz(r-4.4-any)PANR_1.53.0.tgz(r-4.3-any)
PANR_1.53.0.tar.gz(r-4.5-noble)PANR_1.53.0.tar.gz(r-4.4-noble)
PANR_1.53.0.tgz(r-4.4-emscripten)PANR_1.53.0.tgz(r-4.3-emscripten)
PANR.pdf |PANR.html
PANR/json (API)
NEWS

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

Peer review:

Datasets:
  • Bakal2007 - Rich morphological phenotypes for gene overexpression and RNA interference screens
  • Bakal2007Cluster - Rich morphological phenotypes for gene overexpression and RNA interference screens
  • bm1 - Rich morphological phenotypes for gene overexpression and RNA interference screens
  • nodeColor - Rich morphological phenotypes for gene overexpression and RNA interference screens

On BioConductor:PANR-1.53.0(bioc 3.21)PANR-1.52.0(bioc 3.20)

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

immunooncologynetworkinferencevisualizationgraphandnetworkclusteringcellbasedassays

3.30 score 2 scripts 228 downloads 18 exports 22 dependencies

Last updated 2 months agofrom:a07182d954. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-winNOTEDec 19 2024
R-4.5-linuxNOTEDec 19 2024
R-4.4-winNOTEDec 19 2024
R-4.4-macNOTEDec 19 2024
R-4.3-winNOTEDec 19 2024
R-4.3-macNOTEDec 19 2024

Exports:assoScorebuildPANcosineDistcosineSimexportPANfitBMfitNULLinferp2SNRpermNULLpvclustModulesigModulesSNR2psummarizeviewviewLegendviewNestedModulesviewPAN

Dependencies:clicolorspacecpp11farverglueigraphlabelinglatticelifecyclemagrittrMASSMatrixmunsellpkgconfigpvclustR6RColorBrewerRedeRrlangscalesvctrsviridisLite

Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations

Rendered fromPANR-Vignette.Rnwusingutils::Sweaveon Dec 19 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Association scores for gene pairsassoScore
An S4 class for beta mixture modelling of functional gene associationsBetaMixture BetaMixture-class
Build an igraph or RedeR graph for PANbuildPAN buildPAN,PAN,character_Or_missing,list_Or_missing,logical_Or_missing-method
Compute cosine similarities or distances between pairs of genescosineDist cosineSim
Rich morphological phenotypes for gene overexpression and RNA interference screensBakal2007 Bakal2007Cluster bm1 nodeColor
Export inferred PAN or module graphs to filesexportPAN exportPAN,PAN,character_Or_missing,character_Or_missing,numeric_Or_integer_Or_missing,character_Or_missing,logical_Or_missing-method
Fit a three-beta mixture model to densities of functional gene associationsfitBM fitBM,BetaMixture,list_Or_missing,list_Or_missing,logical_Or_missing-method
Fit the NULL component of a three-beta mixture model for functional gene associationsfitNULL fitNULL,BetaMixture,numeric_Or_integer_Or_missing,numeric_Or_integer_Or_missing,character_Or_missing,character_Or_missing,logical_Or_missing-method
Infer a posterior association networkinfer infer,PAN,list,logical_Or_missing,logical_Or_missing-method
Translate p-values to Signal-to-Noise Ratiosp2SNR p2SNR,BetaMixture,numeric_Or_integer-method
An S4 class for inferring a posterior association networkPAN PAN-class
Search enriched functional gene modules by pvclustpvclustModule pvclustModule,PAN,numeric_Or_integer_Or_missing,character_Or_missing,character_Or_missing,logical_Or_missing,logical_Or_missing-method
Retrieve ids for significant gene modules searched by pvclustsigModules sigModules,PAN,numeric_Or_integer_Or_missing,numeric_Or_integer_Or_missing,numeric_Or_integer_Or_missing,character_Or_missing,logical_Or_missing-method
Translate p-values to Signal-to-Noise RatiosSNR2p SNR2p,BetaMixture,numeric_Or_integer-method
Summarize the object of S4 class 'BetaMixture' or 'PAN'summarize summarize,BetaMixture,character_Or_missing-method summarize,PAN,character_Or_missing-method
View the results of beta-mixture model fittingview view,BetaMixture,character_Or_missing-method
View the legends for the graph built for PANviewLegend viewLegend,PAN,character_Or_missing-method
View the nested modules in a posterior association network in RedeRviewNestedModules viewNestedModules,PAN,numeric_Or_integer_Or_missing,numeric_Or_integer_Or_missing,numeric_Or_integer_Or_missing,logical_Or_missing-method
Show posterior association networks or modules in `igraph' or `RedeR'viewPAN viewPAN,PAN,character_Or_missing,numeric_Or_integer_Or_missing,character_Or_missing,logical_Or_missing-method