Package: protGear 1.11.0
protGear: Protein Micro Array Data Management and Interactive Visualization
A generic three-step pre-processing package for protein microarray data. This package contains different data pre-processing procedures to allow comparison of their performance.These steps are background correction, the coefficient of variation (CV) based filtering, batch correction and normalization.
Authors:
protGear_1.11.0.tar.gz
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protGear_1.11.0.tgz(r-4.4-any)protGear_1.11.0.tgz(r-4.3-any)
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protGear.pdf |protGear.html✨
protGear/json (API)
NEWS
# Install 'protGear' in R: |
install.packages('protGear', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/keniajin/protgear/issues
On BioConductor:protGear-1.11.0(bioc 3.21)protGear-1.10.0(bioc 3.20)
microarrayonechannelpreprocessingbiomedicalinformaticsproteomicsbatcheffectnormalizationbayesianclusteringregressionsystemsbiologyimmunooncologybackground-correctionmicroarray-datanormalisationproteomics-datashinyshinydashboard
Last updated 2 months agofrom:97e8c52637. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | NOTE | Nov 30 2024 |
R-4.5-linux | NOTE | Nov 30 2024 |
R-4.4-win | NOTE | Nov 30 2024 |
R-4.4-mac | NOTE | Nov 30 2024 |
R-4.3-win | NOTE | Nov 30 2024 |
R-4.3-mac | NOTE | Nov 30 2024 |
Exports:array_varsbest_CV_estimationbg_correctbuffer_spotscheck_sampleID_filescreate_dircv_by_sample_estimationcv_estimationextract_bglaunch_protGear_interactivelaunch_selectmatrix_normalisemerge_sampleIDminpositivename_of_filesoutput_trend_statsplot_bgplot_bufferplot_FBplot_normalisedplot_normalised_antigenread_array_filesread_array_visualizerlm_normaliserlm_normalise_matrixtag_subtractvisualize_slidevisualize_slide_2d
Dependencies:abindaffyaffyioannotateAnnotationDbiaskpassbackportsbase64encBiobaseBiocGenericsBiocManagerBiostringsbitbit64blobbootbroombslibcachemcarcarDataclicliprclustercolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustflexdashboardfontawesomeforcatsFormulafsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGGallyggplot2ggpubrggrepelggsciggsignifggstatsgluegridExtragtablegtoolshighrhmshtmltoolshtmlwidgetshttpuvhttrIRangesisobandjquerylibjsonliteKEGGRESTKendallknitrlabelinglaterlatticelazyevalleapslifecyclelimmalme4magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpheatmappillarpkgconfigplogrplotlyplyrpngpolynompreprocessCoreprettyunitsprogresspromisespurrrquantregR.cacheR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppEigenreadrremotesreshape2rlangrmarkdownrprojrootRSQLiterstatixS4Vectorssassscalesscatterplot3dshinyshinydashboardsourcetoolsSparseMstatmodstringistringrstylersurvivalsystibbletidyrtidyselecttinytextzdbUCSC.utilsutf8vctrsviridisviridisLitevroomvsnwithrxfunXMLxtableXVectoryamlzlibbioc