Package: KPIC 2.4.0
KPIC: Mass Spectrometry-Based Metabolomics Using Pure Ion Chromatograms
KPIC2 is an effective platform for LC-MS based metabolomics using pure ion chromatograms, which is developed for metabolomics studies. KPIC2 can detect pure ions accurately, align PICs across samples, group PICs to annotate isotope and adduct PICs, fill missing peaks and pattern recognition. High-resolution mass spectrometers like TOF and Orbitrap are more suitable.
Authors:
KPIC_2.4.0.tar.gz
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KPIC.pdf |KPIC.html✨
KPIC/json (API)
# Install 'KPIC' in R: |
install.packages('KPIC', repos = c('https://rickhelmus.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rickhelmus/kpic2/issues
Last updated 2 years agofrom:dd0dddb0ca. Checks:OK: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | WARNING | Nov 02 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 02 2024 |
R-4.4-win-x86_64 | WARNING | Nov 02 2024 |
R-4.4-mac-x86_64 | WARNING | Nov 02 2024 |
R-4.4-mac-aarch64 | WARNING | Nov 02 2024 |
R-4.3-win-x86_64 | WARNING | Nov 02 2024 |
R-4.3-mac-x86_64 | WARNING | Nov 02 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 03 2024 |
Exports:.PICfit.PICresolve.PICsplitanalyst.OPLSanalyst.RFfillPeaks.EIBPCgetDataMatrixgetMSgetPeaksgetPICgetPIC.kmeansgetPIPgetTICsgroupCombineLoadDataPICfitPICresolvePICsetPICset.alignPICset.fitPICset.getPeaksPICset.groupPICset.kmeansPICset.resolvePICset.splitPICsplitreadPICsviewAlignviewGroupsviewMSviewPICsviewPseudospecturmviewTICsWMPD
Dependencies:abindaskpassbase64encBiobaseBiocBaseUtilsBiocGenericsbslibcachemcalibrateCkmeans.1d.dpclicodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledbscanDelayedArraydigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsGAgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvhttrIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentMultiDataSetmunsellmzRncdf4nlmeopensslpillarpkgconfigplotlypromisesProtGenericspurrrqqmanR6randomForestrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRdpackRhdf5librlangrmarkdownroplsS4ArraysS4VectorssassscalesshinysourcetoolsSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitewithrxfunxtableXVectoryamlzlibbioc