Package: plasma 1.1.3

Kevin R. Coombes

plasma: Partial LeAst Squares for Multiomic Analysis

Contains tools for supervised analyses of incomplete, overlapping multiomics datasets. Applies partial least squares in multiple steps to find models that predict survival outcomes. See Yamaguchi et al. (2023) <doi:10.1101/2023.03.10.532096>.

Authors:Kevin R. Coombes [cre, aut], Kyoko Yamaguchi [aut], Salma Abdelbaky [aut]

plasma_1.1.3.tar.gz
plasma_1.1.3.zip(r-4.5)plasma_1.1.3.zip(r-4.4)
plasma_1.1.3.tgz(r-4.4-any)
plasma_1.1.3.tar.gz(r-4.5-noble)plasma_1.1.3.tar.gz(r-4.4-noble)
plasma_1.1.3.tgz(r-4.4-emscripten)
plasma.pdf |plasma.html
plasma/json (API)
NEWS

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

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/oompa

Datasets:

On CRAN:

5.04 score 13 scripts 540 downloads 24 exports 161 dependencies

Last updated 3 months agofrom:ff29702983. Checks:OK: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-winOKDec 10 2024
R-4.5-linuxOKDec 10 2024
R-4.4-winOKDec 10 2024
R-4.4-macOKDec 10 2024

Exports:barplotcombineAllWeightsfitCoxModelsfitSingleModelgetAllWeightsgetCompositeWeightsgetFinalWeightsgetSizesgetTopheatimageinterpretloadESCAdataloadLUSCdatameanModeImputerpickSignificantplasmaplasmaEnvplotpredictprepareMultiOmicssamplingImputerstdizesummary

Dependencies:abindbackportsbase64encbeanplotBHBiocParallelbipartitebootbootstrapbroombslibcachemcarcarDatacheckmateclasscliclustercodacodetoolscolorspacecorpcorcowplotcpp11data.tableDerivdiagramdigestdoBydotCall64dplyrellipseevaluatefansifarverfastmapfieldsfontawesomeforeignformatRFormulafsfutile.loggerfutile.optionsfuturefuture.applygenericsggplot2ggrepelglobalsgluegridExtragsignalgtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphipredisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglambda.rlarslatticelavalifecyclelistenvlme4magrittrmapsMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamixOmicsmodelrmultcompmunsellmvtnormnetworknlmenloptrnnetnumDerivoompaBaseparallellypbkrtestpermutepillarpkgconfigplsplsRcoxplsRglmplyrpolsplinePolychromepracmaprodlimprogressrpurrrquantregR6rappdirsrARPACKRColorBrewerRcppRcppEigenreshape2rglrisksetROCrlangrmarkdownrmetarmsrpartRSpectrarstudioapisandwichsassscalesscatterplot3dshapesnasnowspamSparseMSQUAREMstatnet.commonstringistringrSuppDistssurvAUCsurvcompsurvivalsurvivalROCTH.datatibbletidyrtidyselecttinytexutf8vctrsveganviridisviridisLitewithrxfunyamlzoo

plasma: Interpretation

Rendered frominterpret.pdf.asisusingR.rsp::asison Dec 10 2024.

Last update: 2022-10-25
Started: 2022-10-25

plasma: Partial LeAst Squares for Multiomics Analysis

Rendered fromplasma.pdf.asisusingR.rsp::asison Dec 10 2024.

Last update: 2022-12-01
Started: 2022-10-25

Readme and manuals

Help Manual

Help pageTopics
Class '"CombinedWeights"'combineAllWeights CombinedWeights CombinedWeights-class image,CombinedWeights-method interpret stdize summary,CombinedWeights-method
Class '"Contribution"'Contribution Contribution-class getAllWeights getCompositeWeights getFinalWeights getTop heat heat,Contribution-method image,Contribution-method pickSignificant summary,Contribution-method [,Contribution,ANY,ANY,ANY-method
ESCA type datamirESCA tfESCA
ImputationmeanModeImputer samplingImputer
Class '"MultiOmics"'MultiOmics MultiOmics-class plot,MultiOmics,missing-method prepareMultiOmics summary,MultiOmics-method validMultiOmics [,MultiOmics,ANY,ANY,ANY-method
Class '"MultiplePLSCoxModels"'fitCoxModels getSizes MultiplePLSCoxModels MultiplePLSCoxModels-class plot,MultiplePLSCoxModels,missing-method predict,MultiplePLSCoxModels-method summary,MultiplePLSCoxModels-method validMultipleCoxModels [,MultiplePLSCoxModels,ANY,ANY,ANY-method
Class '"plasma"'barplot,plasma-method plasma plasma-class plot,plasma,missing-method predict,plasma-method summary,plasma-method
Class '"plasmaPredictions"'plasmaPredictions plasmaPredictions-class plot,plasmaPredictions,missing-method
Class '"SingleModel"'fitSingleModel plot,SingleModel,missing-method predict,SingleModel-method SingleModel-class summary,SingleModel-method
Esophageal carcinoma (ESCA) data or lung squamous cell carcinoma (LUSC) data from The Cancer Genome Atlas (TCGA).assemble loadESCAdata loadLUSCdata m450info Outcome plasmaEnv TCGA-ESCA TCGA-LUSC