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10
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1 # boxplotCounts
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2 # boxplots representing counts distribution per sample
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3
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4 # input : counts, target, projectName, type of data (raw or norm)
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5 # output : boxplot (png)
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6
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7 # created Feb 7th, 2012
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8 # modified April 30th, 2012
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9 # Marie-Anges Dillies
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10
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11 boxplotCounts <- function( counts, group, type = c("raw", "norm"), OUT_boxplotCountsName, out = TRUE ){
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12
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13 if (out) png( file=OUT_boxplotCountsName )
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14
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15 boxplot( log2(counts+1), col=as.integer(group)+1, main = paste(type[1], " counts distribution", sep="" ) )
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16 legend( "topright", as.character(unique(group)), lty=1, col=as.integer(unique(group))+1 )
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17
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18 if (out) dev.off()
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19 }
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