Package: MWASTools 1.31.0
MWASTools: MWASTools: an integrated pipeline to perform metabolome-wide association studies
MWASTools provides a complete pipeline to perform metabolome-wide association studies. Key functionalities of the package include: quality control analysis of metabonomic data; MWAS using different association models (partial correlations; generalized linear models); model validation using non-parametric bootstrapping; visualization of MWAS results; NMR metabolite identification using STOCSY; and biological interpretation of MWAS results.
Authors:
MWASTools_1.31.0.tar.gz
MWASTools_1.31.0.zip(r-4.5)MWASTools_1.31.0.zip(r-4.4)MWASTools_1.31.0.zip(r-4.3)
MWASTools_1.31.0.tgz(r-4.4-any)MWASTools_1.31.0.tgz(r-4.3-any)
MWASTools_1.31.0.tar.gz(r-4.5-noble)MWASTools_1.31.0.tar.gz(r-4.4-noble)
MWASTools_1.31.0.tgz(r-4.4-emscripten)MWASTools_1.31.0.tgz(r-4.3-emscripten)
MWASTools.pdf |MWASTools.html✨
MWASTools/json (API)
NEWS
# Install 'MWASTools' in R: |
install.packages('MWASTools', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- KEGG_metabolic_paths - KEGG human metabolic pathways
- MS_data - Simulated LC-MS features
- metabo_SE - NMR plasma metabolic profiles dataset
- targetMetabo_SE - Target NMR metabolites dataset
On BioConductor:MWASTools-1.31.0(bioc 3.21)MWASTools-1.30.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
metabolomicslipidomicscheminformaticssystemsbiologyqualitycontrol
Last updated 2 months agofrom:f47f1f8143. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-win | NOTE | Nov 29 2024 |
R-4.5-linux | NOTE | Nov 29 2024 |
R-4.4-win | NOTE | Nov 29 2024 |
R-4.4-mac | NOTE | Nov 29 2024 |
R-4.3-win | NOTE | Nov 29 2024 |
R-4.3-mac | NOTE | Nov 29 2024 |
Exports:CV_filterJBA_binningJBA_corDistributionJBA_plotBinsMWAS_barplotMWAS_bootstrappingMWAS_filterMWAS_heatmapMWAS_KEGG_networkMWAS_KEGG_pathwaysMWAS_KEGG_shortestpathsMWAS_networkMWAS_scatterplotMSMWAS_skylineNMRMWAS_statsMWAS_SummarizedExperimentplot_spectraNMRQC_CVQC_CV_scatterplotQC_CV_specNMRQC_PCAQC_PCA_scoreplotSTOCSY_NMR
Dependencies:abindaskpassbackportsBiobaseBiocGenericsBiostringsbitopsbootbroomcarcarDatacirclizecliclueclustercodetoolscolorspaceComplexHeatmapcowplotcpp11crayoncurlDelayedArrayDerivdigestdoBydoParalleldplyrfansifarverforeachFormulagenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesGetoptLongggplot2glm2GlobalOptionsgluegraphgridExtragtablehttrigraphIRangesisobanditeratorsjsonliteKEGGgraphKEGGRESTlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpngppcorpurrrquantregqvalueR6RColorBrewerRcppRcppEigenRCurlreshape2RgraphvizrjsonrlangS4ArraysS4VectorsscalesshapeSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXMLXVectorzlibbioc