Package: evaluomeR 1.23.0

José Antonio Bernabé-Díaz

evaluomeR: Evaluation of Bioinformatics Metrics

Evaluating the reliability of your own metrics and the measurements done on your own datasets by analysing the stability and goodness of the classifications of such metrics.

Authors:José Antonio Bernabé-Díaz [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut], Manuel Quesada-Martínez [aut], Astrid Duque-Ramos [aut], Jesualdo Tomás Fernández-Breis [aut]

evaluomeR_1.23.0.tar.gz
evaluomeR_1.23.0.zip(r-4.5)evaluomeR_1.23.0.zip(r-4.4)evaluomeR_1.23.0.zip(r-4.3)
evaluomeR_1.23.0.tgz(r-4.5-any)evaluomeR_1.23.0.tgz(r-4.4-any)evaluomeR_1.23.0.tgz(r-4.3-any)
evaluomeR_1.23.0.tar.gz(r-4.5-noble)evaluomeR_1.23.0.tar.gz(r-4.4-noble)
evaluomeR_1.23.0.tgz(r-4.4-emscripten)evaluomeR_1.23.0.tgz(r-4.3-emscripten)
evaluomeR.pdf |evaluomeR.html✨
evaluomeR/json (API)
NEWS

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

Bug tracker:https://github.com/neobernad/evaluomer/issues

Datasets:

On BioConductor:evaluomeR-1.23.0(bioc 3.21)evaluomeR-1.22.0(bioc 3.20)

clusteringclassificationfeatureextractionassessmentclustering-evaluationevaluomeevaluomermetrics

4.82 score 33 scripts 230 downloads 22 exports 113 dependencies

Last updated 4 months agofrom:b2ae8f523f. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winWARNINGJan 28 2025
R-4.5-macWARNINGJan 28 2025
R-4.5-linuxWARNINGJan 28 2025
R-4.4-winWARNINGJan 28 2025
R-4.4-macWARNINGJan 28 2025
R-4.3-winWARNINGJan 28 2025
R-4.3-macWARNINGJan 28 2025

Exports:annotateClustersByMetricclusterbootWrapperevaluomeRSupportedCBIgetDataQualityRangegetMetricRangeByClustergetMetricsRelevancygetOptimalKValueglobalMetricmetricsCorrelationsplotMetricsBoxplotplotMetricsClusterplotMetricsClusterComparisonplotMetricsMinMaxplotMetricsViolinqualityqualityRangequalitySetstabilitystabilityRangestabilitySetstandardizeQualityDatastandardizeStabilityData

Dependencies:abindaskpassbase64encBiobaseBiocBaseUtilsBiocGenericsbslibcachemclasscliclustercolorspacecorrplotcpp11crayoncurlDelayedArraydendextendDEoptimRdigestdiptestdplyrevaluatefansifarverfastmapflexclustflexmixfontawesomefpcfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggdendroggplot2gluegridExtragtablehighrhtmltoolshttrIRangesisobandjquerylibjsonlitekableExtrakernlabknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmemoisemgcvmimemodeltoolsMultiAssayExperimentmunsellnlmennetopensslpillarpkgconfigplotrixplyrprabcluspurrrR6randomForestrappdirsrbibutilsRColorBrewerRcppRdpackreshape2rlangrmarkdownrobustbaseRSKCrstudioapiS4ArraysS4VectorssassscalessparclSparseArraystringistringrSummarizedExperimentsvglitesyssystemfontstibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisviridisLitewithrxfunxml2XVectoryaml

Evaluation of Bioinformatics Metrics with evaluomeR

José Antonio Bernabé-Díaz, Manuel Franco, Juana-María Vivo, Manuel Quesada-Martínez, Astrid Duque-Ramos, Jesualdo Tomás Fernández-Breis

Rendered frommanual.Rmdusingknitr::rmarkdownon Jan 28 2025.

Last update: 2024-06-17
Started: 2019-02-11