saezlab / cosmosR

COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data sets.

Home Page:https://saezlab.github.io/cosmosR/

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Error while running COSMOS tutorial in R

dilipgosar opened this issue · comments

Dear Sir/ Madam,

I am trying to run tutorial mentioned on COMSOS website but it is giving me this error.

test_result_back <- format_COSMOS_res(test_result_back,

  •                                   metab_mapping = metabolite_to_pubchem,
    
  •                                   measured_nodes = unique(c(names(toy_metabolic_input),
    
  •                                                             names(toy_signaling_input))),
    
  •                                   omnipath_ptm = omnipath_ptm)
    

Error in as.data.frame(cosmos_res$weightedSIF) :
object 'test_result_back' not found

I am running the R code exactly mentioned in the tutorial and I like to know if you can fix it. Also I like to know if you can provide more examples of how to use COSMOS.

Appreciate your help.

Sincerely,

Dilip Gosar

Dear Dilip Gosar,

sorry, the tutorial is a bit outdated. Please, follow the package vignette instead.
I will try to synchronize them today, so hopefully in a few hours, they will be identical.
best,
Attila

tutorial is now updated.
the github page will be updated in 4-5 mins.

Hello Attila,

Thank you for your reply. I was trying to find the cosmosR package vignette but could not find it. It is giving me one more error. I have loaded the cosmosR library in R. Then I was running the following code

CARNIVAL_options <- default_CARNIVAL_options(solver = "lpSolve")
Error in default_CARNIVAL_options(solver = "lpSolve") :
unused argument (solver = "lpSolve")

I don't know what this error means. I like to know how you can help me.

Appreciate your help.

Sincerely,

Dilip Gosar

Hi,
that means you are not using the latest version, please update to cosmos v1.3, at least.

You can install from our github

remotes::install_github("saezlab/cosmosR")

or
from Bioconductor,

BiocManager::install("cosmosR")

in this case make sure that your BiocManager is up to date (the current release is 3.15).

best
Attila