Question: Extracting genes within venn diagram
11.0 years ago by
Celine Carret • 220
Celine Carret • 220 wrote:
Hi all, I have a venn diagram obtained from Limma using decideTests() default and I would like to extract the gene lists specific for each contrasts. Here is what I did: >matrix <- read.csv("cells-HumanDB.csv") ##columns 1 and 2 are gene names and uniprot labels, numerical values start on column 3 >design <- model.matrix(~ -1+factor(c(1,1,1,2,2,2,3,3,4,4,4,5,5,5,6,6,6))) >colnames(design) <- c("GFPneg12h", "GFPpos12h","GFPneg2h","GFPpos2h","DEXpos2h","NI") >contrast.matrix <- makeContrasts((GFPpos12h-GFPneg12h)-NI,(GFPpos2h- GFPneg2h)-NI,(DEXpos2h- GFPneg2h)-NI,((GFPpos2h-GFPneg2h)-NI)-((DEXpos2h- GFPneg2h)-NI),((GFPpos1 2h-GFPneg12h)-NI)-((GFPpos2h-GFPneg2h)-NI), levels=design) >fit <- lmFit(matrix[,3:19], design,weights=arrayw) >fit2 <- contrasts.fit(fit, contrast.matrix) >fit2 <- eBayes(fit2) >results <- decideTests(fit2) >vennDiagram(results[,2:3],cex=0.7) and I get as numbers: 43 (682) 58 and outside circles 712 Looking at the mail list archive I found a line of code from Gordon to extract gene list within a venn diagram such as: >alls <- apply(results[,2:3],1,all) There were 50 or more warnings (use warnings() to see the first 50) > fit2$genes[alls,] And I get 682 genes corresponding to the intersection >alls <- apply(!results[,2:3],1,all) > fit2$genes[alls,] Gave me 712 genes that are outside the venn diagram But how can I get the genes specific for either contrast? (so in this case 43 genes on one hand and 58 genes on another) I also found from Jim this code using affycoretools functions but it doesn't give me the right numbers and I can't understand why: > alls <- affycoretools:::makeIndices(results[,2:3]) > alls.genes <- lapply(alls, function(x) row.names(results[,2:3])[x]) > alls.genes [] gives 56 genes [] gives 71 genes [] gives 669 genes Shouldn't I get [] 43; [] 58 and [] 682? I will be grateful for any help or advice on this matter. Best wishes Celine Here is my R session info > sessionInfo() R version 2.8.0 (2008-10-20) i386-pc-mingw32 locale: LC_COLLATE=English_United Kingdom.1252;LC_CTYPE=English_United Kingdom.1252;LC_MONETARY=English_United Kingdom.1252;LC_NUMERIC=C;LC_TIME=English_United Kingdom.1252 attached base packages:  splines tools stats graphics grDevices utils datasets methods base other attached packages:  affycoretools_1.14.0 annaffy_1.14.0 KEGG.db_2.2.5 gcrma_2.14.1 matchprobes_1.14.0  biomaRt_1.16.0 GOstats_2.8.0 Category_2.8.0 genefilter_1.22.0 survival_2.34-1  RBGL_1.18.0 annotate_1.20.0 xtable_1.5-4 GO.db_2.2.5 RSQLite_0.7-1  DBI_0.2-4 AnnotationDbi_1.4.0 graph_1.20.0 affy_1.20.0 limma_2.16.2  Biobase_2.2.0 loaded via a namespace (and not attached):  affyio_1.10.1 cluster_1.11.11 GSEABase_1.4.0 preprocessCore_1.4.0 RCurl_0.91-0  XML_1.94-0.1 -- The Wellcome Trust Sanger Institute is operated by Genome Research Limited, a charity registered in England with number 1021457 and a company registered in England with number 2742969, whose registered office is 215 Euston Road, London, NW1 2BE.
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