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Error in mvnX when running processSamples.R of OncoCNV

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  • Error in mvnX when running processSamples.R of OncoCNV

    Hi,

    I tried to run ONCOCNV.sh (most recent version) on a set of 9 normal sample alignments to generate a baseline to call CNVs on a set of 8 tumor samples. I used an appropriate tab-delimited BED file (chr, start, end, amplicon ID, 0, and gene name), BAM alignments, and an Ensembl reference genome. All tool requirements were satisfied. However, I was getting the following error with processSamples.R:

    running processSamples.R
    Package 'mclust' version 5.4.5
    Type 'citation("mclust")' for citing this R package in publications.
    PSCBS v0.65.0 successfully loaded. See ?PSCBS for help.

    Attaching package: ‘PSCBS’

    The following objects are masked from ‘package:base’:

    append, load
    R.cache v0.13.0 (2018-01-03) successfully loaded. See ?R.cache for help.
    Loading required package: lattice
    Loading required package: grid
    Loading required package: parallel
    Error in mvnX(data = data, prior = prior) :
    NA/NaN/Inf in foreign function call (arg 1)
    Calls: predictClust ... eval -> eval -> mclustBIC -> mvn -> eval -> eval -> mvnX
    In addition: Warning messages:
    1: In chrom != "chrM" & chrom != "chrX" & chrom != "chrY" & chrom != :
    longer object length is not a multiple of shorter object length
    2: In chrom != "chrM" & chrom != "chrX" & chrom != "chrY" & chrom != :
    longer object length is not a multiple of shorter object length
    3: In chrom != "chrM" & chrom != "chrX" & chrom != "chrY" & chrom != :
    longer object length is not a multiple of shorter object length
    4: In rnorm(length(autoInd), 0, sdError[autoInd]) : NAs produced
    Execution halted

    I want to mention that the Control.stats.Processed.txt file from processControls.R contained some fields with missing values (NA) for mean and IC1-3. Replacing those values with arbitrary numbers did not seem to help. Any clues as to what could be causing this error would be much appreciated.

    Thank you!

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