Distributed fails at some nSet values

[dimalvovs]

Something makes distributed version fail at given nSets:

data(GIST)
params <- CogapsParams(seed=42,
                       nIterations = 100,
                       nPatterns = 2,
                       sparseOptimization = as.logical(0),
                       distributed="genome-wide")
cpus <- parallel::detectCores()
params <- setDistributedParams(params, nSets = cpus+1)
data(GIST)
cg <- CoGAPS(GIST.matrix, params=params)

  featureLoadings <- cg@featureLoadings
  sampleFactors <- cg@sampleFactors

yields

Error in .local(.Object, ...) : no gene names given
In addition: Warning message:
In checkInputs(data, uncertainty, allParams) :
  running distributed cogaps without mtx/tsv/csv/gct data