alberto-valdeolivas / rwr-mh Goto Github PK

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Hi!

I am very interested in your excellent job. But when I tried to repeat the results in the paper, I had a problem in LOOCV step, then I found there is no DISGENET_DATA file in the code. Could you please send me DISGENET_DATA file(my email is [email protected]) or upload it.
Thank you very much!

Hi!

Great job at making RWR-M and -MH accessible, even 4 years after publication I can still run it with only minor installation issues.

One question, I want to benchmark RWR-M against a few other methods that do not make use of Pathway information. In fact, I will use Pathway Enrichment Analysis in the external validation pipeline of my results, so this would give RWR-M an unfair headstart.

How can I run RWR-M without the Pathway information?

I have tried the following parameter file:

1. Global Restart Probability (r):	0.7
2. Inter-Layer Jump Probability (delta):	0
3. Layers Restart Probability - (PPI, PATH, COEX) (tau): 	1.5,0,1.5
4. Number of Top Genes to be included in the output network (K):	20

The layers restart probability makes sure that we don't start at the pathway layer and the inter-layer jump probability makes sure we don't visit it during the walks. Sadly this also prohibits walking from PPI to COEX.

BTW setting a probability to 1.5 hurts me, but they have to sum up to 3.

But I get the following error:

[1] "Reading arguments..."
[1] "Global restart probability: 0.7"
[1] "Inter-Layer Jump Probability: 0"
[1] "Layers Restart Probability:  1.5,0,1.5"
[1] "Number of Top results to be displayed in the output network: 20"
[1] "Reading Multiplex Layers..."
[1] "Getting the Column Normalization..."
Error in h(simpleError(msg, call)) : 
  error in evaluating the argument 'x' in selecting a method for function 't': Cholmod error 'problem too large' at file ../Core/cholmod_dense.c, line 102
Calls: t ... / -> / -> as -> asMethod -> .handleSimpleError -> h
Execution halted

can you help me out?