[BioC] metabolomics data analysis
guest [guest]
guest at bioconductor.org
Wed Sep 4 16:29:33 CEST 2013
Dear Users,
Do you know any package is designed for metabolomics data? or any package can be used to analyze metabolomics data? I have no experience analyze metabolomics data, it should be quite different from microarray.
Thanks,
-- output of sessionInfo():
> sessionInfo()
R version 3.0.1 (2013-05-16)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] splines parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] WGCNA_1.27-1 doParallel_1.0.3 iterators_1.0.6 foreach_1.4.1
[5] MASS_7.3-27 reshape_0.8.4 plyr_1.8 Hmisc_3.12-2
[9] Formula_1.1-1 survival_2.37-4 flashClust_1.01-2 dynamicTreeCut_1.60
[13] impute_1.34.0 affy_1.38.1 cluster_1.14.4 preprocessCore_1.22.0
[17] BiocInstaller_1.10.3 pd.hugene.2.0.st_3.8.0 oligo_1.24.2 oligoClasses_1.22.0
[21] hugene20sttranscriptcluster.db_2.12.1 org.Hs.eg.db_2.9.0 RSQLite_0.11.4 DBI_0.2-7
[25] AnnotationDbi_1.22.6 Biobase_2.20.1 BiocGenerics_0.6.0 limma_3.16.7
loaded via a namespace (and not attached):
[1] affxparser_1.32.3 affyio_1.28.0 Biostrings_2.28.0 bit_1.1-10 codetools_0.2-8 ff_2.2-11 GenomicRanges_1.12.5
[8] grid_3.0.1 IRanges_1.18.3 lattice_0.20-15 rpart_4.1-1 stats4_3.0.1 tools_3.0.1 zlibbioc_1.6.0
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