maSigPro Problems in see.genes
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Marcelo Laia ▴ 450
@marcelo-laia-2007
Last seen 2.5 years ago
Brazil
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" $edesign Time Replicates Group Array1 1 1 1 Array2 1 1 1 Array3 1 1 1 Array4 5 2 1 Array5 5 2 1 Array6 5 2 1 Array7 9 3 1 Array8 9 3 1 Array9 9 3 1 Array10 13 4 1 Array11 13 4 1 Array12 13 4 1 Array13 17 5 1 Array14 17 5 1 Array15 17 5 1 > > sessionInfo() R version 2.6.2 (2008-02-08) i386-pc-mingw32 locale: LC_COLLATE=Portuguese_Brazil.1252;LC_CTYPE=Portuguese_Brazil.1252;LC_M ONETARY=Portuguese_Brazil.1252;LC_NUMERIC=C;LC_TIME=Portuguese_Brazil. 1252 attached base packages: [1] tools stats graphics grDevices utils datasets methods base other attached packages: [1] maSigPro_1.10.0 Biobase_1.16.3 > Could you help me? What I could do wrong? Thank you very much. -- Marcelo Luiz de Laia Jaboticabal - SP - Brazil "Voc? v? as coisas como elas s?o e pergunta: por qu?? Mas eu sonho com coisas que nunca foram e pergunto: por que n?o? " - Bernard Shaw
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Ana Conesa ▴ 340
@ana-conesa-2156
Last seen 9.6 years ago
Hi Marcelo You should be running the see.genes function as: > see.genes(sigs$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_Brazi l.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 Investigaci?n Pr?ncipe Felipe Avda. Autopista Saler, 16 46013 Valencia Spain http://bioinfo.cipf.es/aconesa
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