[BioC] WGCNA
Peter Langfelder
peter.langfelder at gmail.com
Mon Feb 17 04:02:04 CET 2014
Hi Martin,
if you simply run pickSoftThreshold without calling enableWGCNAThreads
before, the function is run in a single-worker mode. To reproduce the
error, you have to call enableWGCNAThreads with an argument of 2 or
more.
For a reproducible example, you can run the first two sections of
WGCNA Tutorial I at
http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/index.html.
Sorry, I don't have a quick simulated example ready but could cook one
up.
I am actually not sure whether this problem also occurs on Windows,
since the cluster parallelization is very different from the forking
on linux. I am only aware of it through bug reports of WGCNA users
(who usually email me directly).
Peter
On Sun, Feb 16, 2014 at 6:30 PM, Martin Morgan <mtmorgan at fhcrc.org> wrote:
>
> but from my original mail pickSoftThreshold 'worked for me' under Rstudio on
> Windows (output below, again); maybe I didn't invoke it in a way that would
> trigger the error, so a reproducible illustration would help (me). Also on
> Windows (platform of the original post) the parallel package doesn't fork,
> e.g., from ?mcfork
>
> These are low-level functions, not available on Windows, and not
> exported from the namespace.
>
> or ?mclapply
>
> It relies on forking and hence is not available on Windows unless
> 'mc.cores = 1'.
>
> Do you mean something less literally forking, like spawning a new process?
> Maybe from
>
> http://stackoverflow.com/questions/20704235
>
> the solution is as simple as adding .packages="WGCNA" to your foreach calls?
>
>
>> x = pickSoftThreshold(data)
> trace: .C("checkAvailableMemoryForR", size = as.double(size), PACKAGE =
> "WGCNA")
> trace: .C("corFast", x = as.double(x), nrow = as.integer(nrow(x)), ncolx =
> as.integer(ncol(x)),
> y = as.double(y), ncoly = as.integer(ncol(y)), quick = as.double(quick),
> cosineX = as.integer(cosineX), cosineY = as.integer(cosineY),
> res = as.double(bi), nNA = as.integer(nNA), err = as.integer(err),
> nThreads = as.integer(nThreads), verbose = as.integer(verbose),
> indent = as.integer(indent), DUP = FALSE, NAOK = TRUE, PACKAGE =
> "WGCNA")
> trace: .C("corFast", x = as.double(x), nrow = as.integer(nrow(x)), ncolx =
> as.integer(ncol(x)),
> y = as.double(y), ncoly = as.integer(ncol(y)), quick = as.double(quick),
> cosineX = as.integer(cosineX), cosineY = as.integer(cosineY),
> res = as.double(bi), nNA = as.integer(nNA), err = as.integer(err),
> nThreads = as.integer(nThreads), verbose = as.integer(verbose),
> indent = as.integer(indent), DUP = FALSE, NAOK = TRUE, PACKAGE =
> "WGCNA")
> Power SFT.R.sq slope truncated.R.sq mean.k. median.k. max.k.
> 1 1 0.173 -11.00 0.98400 4.02e+01 4.02e+01 4.45e+01
> 2 2 0.326 -8.45 0.95700 5.04e+00 5.04e+00 6.12e+00
> 3 3 0.241 -4.30 0.95300 8.01e-01 8.02e-01 1.05e+00
> 4 4 0.348 -4.04 0.95000 1.49e-01 1.49e-01 2.25e-01
> 5 5 0.513 -3.74 0.90400 3.15e-02 3.09e-02 5.77e-02
> 6 6 0.697 -3.72 0.92600 7.32e-03 6.99e-03 1.70e-02
> 7 7 0.811 -3.26 0.93300 1.85e-03 1.70e-03 5.55e-03
> 8 8 0.893 -2.92 0.95700 4.99e-04 4.32e-04 1.97e-03
> 9 9 0.923 -2.67 0.94400 1.43e-04 1.15e-04 7.35e-04
> 10 10 0.958 -2.38 0.96500 4.34e-05 3.15e-05 2.85e-04
> 11 12 0.910 -2.07 0.88600 4.50e-06 2.59e-06 4.55e-05
> 12 14 0.325 -3.02 0.21800 5.31e-07 2.29e-07 7.58e-06
> 13 16 0.219 -3.01 0.00942 6.88e-08 2.06e-08 1.29e-06
> 14 18 0.206 -3.06 0.03550 9.53e-09 1.93e-09 2.29e-07
> 15 20 0.227 -2.97 0.02620 1.39e-09 1.85e-10 4.11e-08
>
>
>
>
>>
>> Hope this clears up any lingering confusion.
>>
>> Also see inline below
>>
>> On Sun, Feb 16, 2014 at 12:26 PM, Martin Morgan <mtmorgan at fhcrc.org>
>> wrote:
>>
>>>
>>>
>>> Also I don't see where the error message is coming from (who is printing
>>> "task 1 failed - " ?)
>>
>>
>>
>> I believe this is printed by foreach/doParallel but here I could be wrong.
>>
>>
>>
>> HTH,
>>
>> Peter
>>
>>>
>>> I have a vague recollection that the x[["Version"]] (which comes from
>>> getAnywhere("print.sessionInfo")) has to do with multiple installed
>>> versions
>>> of a package, but again it would be good to get to the bottom of this
>>> problem.
>>>
>>> Martin
>
>
>
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>
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