Package: TOP 1.13.0

Harry Robertson
TOP: TOP Constructs Transferable Model Across Gene Expression Platforms
TOP constructs a transferable model across gene expression platforms for prospective experiments. Such a transferable model can be trained to make predictions on independent validation data with an accuracy that is similar to a re-substituted model. The TOP procedure also has the flexibility to be adapted to suit the most common clinical response variables, including linear response, binomial and Cox PH models.
Authors:
TOP_1.13.0.tar.gz
TOP_1.13.0.zip(r-4.7)TOP_1.13.0.zip(r-4.6)TOP_1.13.0.zip(r-4.5)
TOP_1.13.0.tgz(r-4.6-any)TOP_1.13.0.tgz(r-4.5-any)
TOP_1.13.0.tar.gz(r-4.7-any)TOP_1.13.0.tar.gz(r-4.6-any)
TOP_1.13.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TOP/json (API)
| # Install 'TOP' in R: |
| install.packages('TOP', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/harry25r/top/issues
- TOP_data_binary - A simulated binary data
On BioConductor:TOP-1.13.0(bioc 3.24)TOP-1.12.0(bioc 3.23)
softwaresurvivalgeneexpression
Last updated from:391b4a30ad. Checks:5 NOTE, 2 OK, 1 FAIL, 2 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 216 | ||
| linux-devel-x86_64 | NOTE | 416 | ||
| source / vignettes | OK | 377 | ||
| linux-release-x86_64 | NOTE | 401 | ||
| macos-release-arm64 | FAIL | 103 | ||
| macos-oldrel-arm64 | NOTE | 279 | ||
| windows-devel | WARNING | 663 | ||
| windows-release | NOTE | 287 | ||
| windows-oldrel | WARNING | 636 | ||
| wasm-release | OK | 225 |
Exports:coefNetworkPlotexpitfilterFeaturespairwise_col_diffperformance_TOPpredict_TOPROC_PlotsimplenetworkPlotSurv_TOP_CITOP_coefPlotTOP_lambdaPlotTOP_modelTOP_survivalTOP_survivalPrediction
Dependencies:abindannotateAnnotationDbiaskpassassertthatbackportsbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocParallelBiostringsbitbit64blobbootbroombslibcachemcalibratecarcarDatacaretcheckmatecirclizeclassClassifyRcliclockclustercodetoolscolorspacecorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdcanrDelayedArrayDerivdiagramdigestdirectPAdoBydoParalleldoRNGdplyre1071evaluatefarverfastmapfontawesomeforeachforecastforeignformatRFormulafracdifffsfutile.loggerfutile.optionsfuturefuture.applygenefiltergenericsGenomicRangesggforceggnewscaleggplot2ggpubrggraphggrepelggsciggsignifggthemesggupsetglmnetGlobalOptionsglobalsgluegowergraphlayoutsgridExtragtablehardhathighrHmischtmlTablehtmltoolshtmlwidgetshttrigraphipredIRangesisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglambda.rlaterlatex2explatticelavalazyevallifecyclelimmalistenvlme4lmtestlubridatemagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrMultiAssayExperimentnlmenloptrnnetnumDerivopensslotelparallellypbkrtestpillarpkgconfigplotlyplyrpngpolyclippolynompROCprodlimprogressrpromisesproxypurrrquantregR6rangerrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrecipesreformulasreshape2rlangrmarkdownrngtoolsrpartRSQLiterstatixrstudioapiS4ArraysS4VectorsS7sassscalesSeqinfoshapesnowSparseArraySparseMsparsevctrsSQUAREMstatmodstringistringrSummarizedExperimentsurvivalsyssystemfontstibbletidygraphtidyrtidyselecttimechangetimeDatetinytextweenrtzdburcautf8vctrsviridisviridisLitewithrxfunXMLxtableXVectoryamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| coefNetworkPlot | coefNetworkPlot |
| The expit function | expit |
| filterFeatures | filterFeatures |
| Compute pairwise difference between matrix columns | pairwise_col_diff |
| performance_TOP | performance_TOP |
| Prectict using the Trasferable Omics Prediction model. | predict_TOP |
| ROC_Plot | ROC_Plot |
| simplenetworkPlot | simplenetworkPlot |
| Create a function to calculate the concordance index. | Surv_TOP_CI |
| TOP_coefPlot | TOP_coefPlot |
| A simulated binary data | TOP_data_binary |
| TOP_lambdaPlot | TOP_lambdaPlot |
| TOP_model | TOP_model |
| TOP_survival | TOP_survival |
| TOP_survivalPrediction | TOP_survivalPrediction |