Hi,
I'm running a tutorial ("Meta-analyses of data from two (or more)
microarray data sets"), which use wgcna package. I have an error in the
function modulePreservation (it is below).
I'm using R2.13
Can you help me? Do you know, what is happens?
Thanks
Raquel
multiExpr = list(A = list(data=t(badea)),B = list(data=t(mayo)))
# two independent datasets (dim = 13447 x 36)
mp =
modulePreservation(multiExpr,multiColor,referenceNetworks=1,verbose=3,networkType="signed",nPermutations=2,maxGoldModuleSize=100,maxModuleSize=400)
..checking data for excessive amounts of missing data..
Flagging genes and samples with too many missing values...
..step 1
Flagging genes and samples with too many missing values...
..step 1
..unassigned 'module' name: grey
..all network sample 'module' name: gold
..calculating observed preservation values
..calculating permutation Z scores
..Working with set 1 as reference set
....working with set 2 as test set
......working on permutation 1
......working on permutation 2
Error en zAll[, stat] = z :
número de items para para sustituir no es un múltiplo de la longitud del
reemplazo
(number of items to replace is not a multiple of&nbs
p;replacement length)
--
********************************************
Raquel Martinez Garcia, Graduate Student
Gastrointestinal Cancer Clinical Research Unit
& Structural Biology and BioComputing Programme
Spanish National Cancer Research Center (CNIO)
Melchor Fernandez Almagro, 3.
28029 Madrid, Spain.
Phone: +34 91 732 80 00 #3015
rmartinezg@cnio.es
http://www.cnio.es
********************************************
**NOTA DE CONFIDENCIALIDAD** Este correo electrónico, y ...{{dropped:7}}
On Wed, Jul 6, 2011 at 8:27 AM, Raquel Martinez Garcia <rmartinezg at cnio.es> wrote:> Hi, > > I'm running a tutorial ("Meta-analyses of data from two (or more) microarray data sets"), which use wgcna package. I have an error in the function modulePreservation (it is below). > I'm using R2.13 > Can you help me? Do you know, what is happens?Hi Raquel, I'm the author of the function. I see you have already modified the tutorial with your own input. The error you see may be a bug in the function, but it may also be due to the fact that you use only 2 permutations. I suggest you try to increase the number of permutations to at least 10, but for meaningful results you should use at least 50. HTH, Peter
Ingezz
2012-Aug-01 13:30 UTC
[R] wgcna choice for softpower by scale indepence when combining to datasets
Dear Peter, I have another question about WGCNA. I am using the package for meta-analysis to find modules preserved in several datasets. However, I am unsure how to handle the softpower, because each dataset has its own ideal scale indepence value. When combining several datasets what should I do? - pick the lowest scale indepence value and use this for all datasets? - calculate an average scale indepence value of the datasets, and use this one? - use different scale indepence values for different datasets, all though combining them later on? - or something else, which I havent thought of? Hope you can help me! Many thanks! Kind regards, Inge -- View this message in context: http://r.789695.n4.nabble.com/wgcna-tp3649354p4638677.html Sent from the R help mailing list archive at Nabble.com.