Package: msmsEDA 1.45.0

Josep Gregori

msmsEDA: Exploratory Data Analysis of LC-MS/MS data by spectral counts

Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.

Authors:Josep Gregori, Alex Sanchez, and Josep Villanueva

msmsEDA_1.45.0.tar.gz
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msmsEDA.pdf |msmsEDA.html✨
msmsEDA/json (API)

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

On BioConductor:msmsEDA-1.45.0(bioc 3.21)msmsEDA-1.44.0(bioc 3.20)

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

immunooncologysoftwaremassspectrometryproteomics

4.38 score 2 packages 4 scripts 580 downloads 2 mentions 14 exports 131 dependencies

Last updated 4 months agofrom:42fe18df12. Checks:1 OK, 6 NOTE, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winNOTEJan 28 2025
R-4.5-macWARNINGJan 28 2025
R-4.5-linuxNOTEJan 28 2025
R-4.4-winNOTEJan 28 2025
R-4.4-macNOTEJan 28 2025
R-4.3-winNOTEJan 28 2025
R-4.3-macNOTEJan 28 2025

Exports:batch.neutralizecount.statscounts.hccounts.heatmapcounts.pcadisp.estimatesfilter.flagsgene.tablenorm.countspp.msms.dataspc.barplotsspc.boxplotsspc.densityplotsspc.scatterplot

Dependencies:abindaffyaffyioAnnotationFilteraskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocManagerBiocParallelbitopsbslibcachemcaToolscliclueclustercodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDelayedArraydigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshighrhtmltoolshtmlwidgetshttrigraphimputeIRangesisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmamagrittrMALDIquantMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMsCoreUtilsMSnbaseMultiAssayExperimentmunsellmzIDmzRncdf4nlmeopensslpcaMethodspillarpkgconfigplotlyplyrpreprocessCorepromisesProtGenericsPSMatchpurrrQFeaturesR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownS4ArraysS4VectorssassscalessnowSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitevsnwithrxfunXMLXVectoryaml

msmsEDA: Batch effects detection in LC-MSMS experiments

Rendered frommsmsData-Vignette.Rnwusingutils::Sweaveon Jan 28 2025.

Last update: 2014-01-19
Started: 2013-11-01