@Kevin Blighe I want to use it in R, I found their package but it seems not very straightforward. any idea?
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I have a Metabolomics data with a p value, I want to know which ways I can find pathways, as an example please use the following data
df<- structure(list(rn = c("1-Methylhistidine", "L-Kynurenine", "N6,N6,N6-Trimethyl-L-lysine",
"Putrescine", "Cytidine", "Xanthosine", "N-Alpha-acetyllysine",
"L-Phenylalanine", "L-Arginine", "Pantothenic acid"), P.Value = c(3.68760885497216e-05,
0.000294447368552433, 0.00186310350410466, 0.00211110071314893,
0.00348498422603502, 0.00373568863130606, 0.0082476384775719,
0.0177605396545179, 0.0224866727309657, 0.0337353837405139)), row.names = c(NA,
-10L), class = c("data.table", "data.frame"), .internal.selfref = <pointer: 0x1020162e0>)
Try MetaboAnalyst
Kevin
@Kevin Blighe I want to use it in R, I found their package but it seems not very straightforward. any idea?
Hi,
Try FELLA: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2487-5 and/ or Lilikoi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290884/ both on CRAN, and are new and active ones!
Thanks,
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