Package: ScanCentricPeakCharacterization 0.3.65
ScanCentricPeakCharacterization: Functionality for Characterizing Peaks in Mass Spectrometry in a Scan-Centric Manner
Provides a functions and classes for detecting, characterizing, and integrating peaks in a scan-centric manner from direct-injection mass spectrometry data.
Authors:
ScanCentricPeakCharacterization_0.3.65.tar.gz
ScanCentricPeakCharacterization_0.3.65.zip(r-4.5)ScanCentricPeakCharacterization_0.3.65.zip(r-4.4)ScanCentricPeakCharacterization_0.3.65.zip(r-4.3)
ScanCentricPeakCharacterization_0.3.65.tgz(r-4.4-any)ScanCentricPeakCharacterization_0.3.65.tgz(r-4.3-any)
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ScanCentricPeakCharacterization.pdf |ScanCentricPeakCharacterization.html✨
ScanCentricPeakCharacterization/json (API)
NEWS
# Install 'ScanCentricPeakCharacterization' in R: |
install.packages('ScanCentricPeakCharacterization', repos = c('https://moseleybioinformaticslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/moseleybioinformaticslab/scancentricpeakcharacterization/issues
Last updated 8 months agofrom:2373d738be (on v0.3.65). Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | WARNING | Nov 11 2024 |
R-4.5-linux | WARNING | Nov 11 2024 |
R-4.4-win | WARNING | Nov 11 2024 |
R-4.4-mac | WARNING | Nov 11 2024 |
R-4.3-win | WARNING | Nov 11 2024 |
R-4.3-mac | WARNING | Oct 12 2024 |
Exports:%>%add_scan_infoadd_to_zipcharacterize_peakscheck_frequency_r2check_ranges_convert_to_regionscheck_zip_filechoose_frequency_model_builtinconvert_mz_frequencycorrect_meancorrect_peakcorrect_peak_sd_heightcorrect_variancecreate_frequency_regionsdefault_correct_offset_functiondefault_offset_predict_functiondisable_loggingenable_loggingextract_raw_methodfilter_scans_builtinfind_signal_regionsfrequency_points_to_frequency_regionsget_fitted_peak_infoget_mzml_headerget_mzml_metadataget_raw_ms_metadataimport_sc_mzmlindicate_standards_contaminentsinitialize_metadata_from_mzmlinitialize_zip_metadataintegrate_modeljson_2_peak_listjson_mzML_2_dflists_2_jsonload_metadataloess_to_dflog_memorylog_messagemeta_export_jsonmodel_peak_center_intensitymz_frequency_interpolationmz_scans_to_frequencymzml_to_zippeak_list_2_jsonpredicted_frequency_r2raw_metadata_mzmlrecalculate_offsetsrun_mzml_listsample_run_timesc_zipSCCharacterizePeaksSCMzmlSCPeakRegionFinderSCPeakRegionsSCZipset_internal_mapshow_progresssingle_pass_normalizationsplit_region_by_peaksssrtransform_residualszip_list_contents
Dependencies:abindaffyaffyioAnnotationFilteraskpassassertthatbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocManagerBiocParallelbslibcachemcellrangercliclueclustercodetoolscolorspacecowplotcpp11crayoncrosstalkcurldata.tabledebugmeDelayedArraydigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforcatsforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttrigraphimputeIRangesisobanditeratorsjquerylibjsonliteknitrknitrProgressBarlabelinglambda.rlaterlatticelazyevallifecyclelimmalubridatemagrittrMALDIquantMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMsCoreUtilsMSnbaseMultiAssayExperimentmunsellmzIDmzRncdf4nlmeopensslpcaMethodspillarpkgconfigplotlyplyrpracmapreprocessCoreprettyunitsprogresspromisesProtGenericsPSMatchpurrrQFeaturesR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppreadxlrematchreshape2Rhdf5librlangrmarkdownS4ArraysS4VectorssassscalessnowSparseArraystatmodstringistringrSummarizedExperimentsystibbletidyrtidyselecttimechangetinytexUCSC.utilsutf8vctrsviridisLitevsnwithrxfunXMLXVectoryamlzlibbioc