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.DS_Store

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R/data.R

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#' Bioinformatics 36.4 (2020): 1307-1308.
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#'
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"reactome"
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#' hypeR-GEM object of age-associated metabolites obtained from New England Centenarian Study (NECS)
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#'
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#' A a list object
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#'
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#' @docType data
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#'
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#' @usage data(hypeR_object_NECS)
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#'
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#' @format a list object
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#'
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#' @return a list object
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#'
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#' @references TBD
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#'
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#'
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#'
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"hypeR_object_NECS"
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#' A list of enriched Metabolon-based metabolite sets (MSets) obtained from age-associated metabolites in NECS
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#'
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#' A a list object
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#'
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#' @docType data
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#'
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#' @usage data(metabolon_msets_list)
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#'
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#' @format a list object
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#'
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#' @return a list object
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#'
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#' @references Evans, A. M., DeHaven, C. D., Barrett, T., Mitchell, M. & Milgram, E.
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#' Integrated, Nontargeted Ultrahigh Performance Liquid Chromatography/Electrospray Ionization
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#' Tandem Mass Spectrometry Platform for the Identification and Relative Quantification of
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#' the Small-Molecule Complement of Biological Systems. Anal. Chem. 81, 6656–6667 (2009).
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"metabolon_msets_list"
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#' A list of enriched gene-sets in HALLMARK,KEGG, and REACTOME derived from "hypeR_object_NECS"
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#'
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#' A a list object
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#'
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#' @docType data
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#'
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#' @usage data(gsets_list)
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#'
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#' @format a list object
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#'
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#' @return a list object
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#'
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#' @references Federico, Anthony, and Stefano Monti.
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#' "hypeR: an R package for geneset enrichment workflows."
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#' Bioinformatics 36.4 (2020): 1307-1308.
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#'
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"gsets_list"

data/gsets_list.rda

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data/hypeR_object_NECS.rda

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data/metabolon_msets_list.rda

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man/gsets_list.Rd

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man/hypeR_object_NECS.Rd

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man/metabolon_msets_list.Rd

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vignettes/Workflow.Rmd

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The `sankey_plot` function generates a three-layer Sankey diagrams connecting metabolites, the metabolite sets (MSets), and the gene sets (GSets) derived from hypeR-GEM. Edge weights between the metabolite and Msets layers reflect the number of shared metabolites, while edges between the MSets and GSets layers reflect the overlap between hypeR-GEM–mapped genes and genes in each GSets. Here we use a toy dataset to illustrate its utility.
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```{r}
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metabolite_signatures <- paste0("m", 1:10)
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Msets <- list(Mset1 = c("m1", "m2", "m3"),
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Mset2 = c("m4","m5", "m6"),
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Mset3 = c("m7", "m8", "m9", "m10"))
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data("hypeR_object_NECS")
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data("metabolon_msets_list")
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data("gsets_list")
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p <- sankey_plot(hypeR_object_NECS, list(metabolon_msets_list$metabolonSupPthwy), list(gsets_list$hallmark), key = "refmet_name",font_size=16,node_width=20)
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p
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```
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