[BioC] maSigPro Problems in see.genes
Ana Conesa
aconesa at cipf.es
Fri Feb 22 13:58:13 CET 2008
Hi Marcelo
You should be running the see.genes function as:
> see.genes(sigs$sig.genes$Time, ...)
or
> see.genes(sigs$sig.genes$Time2, ...)
etc.
Hope this helps
Ana
Marcelo Laia wrote:
> Dear,
>
> We have a Single Series Time Course and we would like to analyse it on maSigPro.
>
> But we got an error in see.genes:
>
>
>> see.genes(sigs, design, main = "Exp Prof MI", show.fit = T,
>>
> + dis = design$dis, cluster.method="kmeans", cluster.data = 1, k = 9)
> Error in edesign[, time.col] : incorrect number of dimensions
>
> sig.genes function is OK.
>
>
>> sigs <- get.siggenes(tstep, rsq = 0.6, vars = "each")
>> sigs$summary
>>
> if (stringsAsFactors) factor(x) else x
> 1 AD1X1FD8 (1)
> 2 AD1X1FD8 (2)
> (...)
> 136 ST3X9BD3 (1)
> 137 ST3X7DD0 (2)
>
> my design file (degree = 4):
>
>
>> design
>>
> $dis
> Time Time2 Time3 Time4
> Array1 1 1 1 1
> Array2 1 1 1 1
> Array3 1 1 1 1
> Array4 5 25 125 625
> Array5 5 25 125 625
> Array6 5 25 125 625
> Array7 9 81 729 6561
> Array8 9 81 729 6561
> Array9 9 81 729 6561
> Array10 13 169 2197 28561
> Array11 13 169 2197 28561
> Array12 13 169 2197 28561
> Array13 17 289 4913 83521
> Array14 17 289 4913 83521
> Array15 17 289 4913 83521
>
> $groups.vector
> [1] "Group" "Group" "Group" "Group"
>
> $edesign
> Time Replicates Group
> Array1 1 1 1
> Array2 1 1 1
> Array3 1 1 1
> Array4 5 2 1
> Array5 5 2 1
> Array6 5 2 1
> Array7 9 3 1
> Array8 9 3 1
> Array9 9 3 1
> Array10 13 4 1
> Array11 13 4 1
> Array12 13 4 1
> Array13 17 5 1
> Array14 17 5 1
> Array15 17 5 1
>
>
>> sessionInfo()
>>
> R version 2.6.2 (2008-02-08)
> i386-pc-mingw32
>
> locale:
> LC_COLLATE=Portuguese_Brazil.1252;LC_CTYPE=Portuguese_Brazil.1252;LC_MONETARY=Portuguese_Brazil.1252;LC_NUMERIC=C;LC_TIME=Portuguese_Brazil.1252
>
> attached base packages:
> [1] tools stats graphics grDevices utils datasets
> methods base
>
> other attached packages:
> [1] maSigPro_1.10.0 Biobase_1.16.3
>
>
> Could you help me? What I could do wrong?
>
> Thank you very much.
>
>
--
------------------------------------------
Ana Conesa, PhD
Bioinformatics Department
Centro de Investigación Príncipe Felipe
Avda. Autopista Saler, 16
46013 Valencia Spain
http://bioinfo.cipf.es/aconesa
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