ReportingTools problem with GO report
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Assa Yeroslaviz ★ 1.5k
@assa-yeroslaviz-1597
Last seen 3 months ago
Germany
Hi Josh and Bioc User, I am having a problem creating the GO HTML report for a gene set out of GOstats analysis. Here is what I do: selectedIDs <- resSig$entrez #selectedIDs <- na.omit(selectedIDs) # not sure if needed universeIDs <- res$entrez # universeIDs <- na.omit(universeIDs) # not sure if needed goParams <- new("GOHyperGParams", geneIds = selectedIDs, universeGeneIds = universeIDs, annotation ="org.Mm.eg" , ontology = "BP", pvalueCutoff = 0.01, conditional = TRUE, testDirection = "over") goResults <- hyperGTest(goParams) df <- summary(goResults) #dim(summary(goResults, pvalue=0.1)) #dim(summary(goResults, categorySize=10)) htmlReport(goResults, file="test_report.html") # this works just fine BPReport <- HTMLReport(shortName ='GO-BP_analysis_rnaseq', title = paste("GO analysis of DE genes in the comparisonn of ", group1, "vs.", group2, sep="") ,reportDirectory = "./GO_reports") publish(goResults, BPReport, selectedIDs=selectedIDs, annotation.db=" org.Mm.eg",pvalueCutoff= 0.05, makePlot=TRUE) finish(BPReport) But when I run the publidh command I get the error: Error in unlist(mget(ids, ann.map, ifnotfound = NA)) : error in evaluating the argument 'x' in selecting a method for function 'unlist': Error in .checkKeysAreWellFormed(keys) : keys must be supplied in a character vector with no NAs I also tried your example from the web site ( http://research-pub.gene.com/ReportingTools/microarray3.R) and got a similar error massage: library(GOstats) tt <- topTable(fit, coef = 2, n = 100) selectedIDs <- unlist(mget(tt$ID, hgu95av2ENTREZID)) universeIDs <- unlist(mget(featureNames(ALL), hgu95av2ENTREZID)) goParams <- new("GOHyperGParams", geneIds = selectedIDs, universeGeneIds = universeIDs, annotation = annotation(ALL), ontology = "BP", pvalueCutoff = 0.01, conditional = TRUE, testDirection = "over") goResults <- hyperGTest(goParams) ################################################### ### Make the GO report ################################################### goReport <- HTMLReport(shortName = 'go_analysis', title = 'GO analysis of BCR/ABL translocation', reportDirectory = './reports') publish(goResults, goReport, selectedIDs = selectedIDs, annotation.db = 'org.Hs.eg') Warning message: No results met the specified criteria. Returning 0-row data.frame Error in unlist(mget(ids, ann.map, ifnotfound = NA)) : error in evaluating the argument 'x' in selecting a method for function 'unlist': Error in .checkKeysAreWellFormed(keys) : keys must be supplied in a character vector with no NAs So I guess the prolem is not with my data set. I would like to know if this have anything to do with the new version of R? thanks in afdvance, Assa > sessionInfo() R version 3.1.0 (2014-04-10) Platform: x86_64-pc-linux-gnu (64-bit) locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] parallel stats graphics grDevices utils datasets methods [8] base other attached packages: [1] xtable_1.7-3 org.Mm.eg.db_2.14.0 GOstats_2.30.0 [4] graph_1.42.0 Category_2.30.0 GO.db_2.14.0 [7] Matrix_1.1-2 biomaRt_2.20.0 edgeR_3.6.0 [10] limma_3.20.1 ReportingTools_2.4.0 AnnotationDbi_1.26.0 [13] Biobase_2.24.0 RSQLite_0.11.4 DBI_0.2-7 [16] knitr_1.5 rtracklayer_1.24.0 gplots_2.13.0 [19] RColorBrewer_1.0-5 genefilter_1.46.0 DESeq2_1.4.0 [22] RcppArmadillo_0.4.200.0 Rcpp_0.11.1 GenomicRanges_1.16.2 [25] GenomeInfoDb_1.0.2 IRanges_1.22.3 BiocGenerics_0.10.0 [28] BiocInstaller_1.14.1 loaded via a namespace (and not attached): [1] annotate_1.42.0 AnnotationForge_1.6.0 BatchJobs_1.2 [4] BBmisc_1.5 BiocParallel_0.6.0 Biostrings_2.32.0 [7] biovizBase_1.12.0 bitops_1.0-6 brew_1.0-6 [10] BSgenome_1.32.0 caTools_1.17 cluster_1.14.4 [13] codetools_0.2-8 colorspace_1.2-4 dichromat_2.0-0 [16] digest_0.6.4 evaluate_0.5.3 fail_1.2 [19] foreach_1.4.2 formatR_0.10 Formula_1.1-1 [22] gdata_2.13.3 geneplotter_1.42.0 GenomicAlignments_1.0.0 [25] GenomicFeatures_1.16.0 ggbio_1.12.0 ggplot2_0.9.3.1 [28] grid_3.1.0 gridExtra_0.9.1 GSEABase_1.26.0 [31] gtable_0.1.2 gtools_3.4.0 Hmisc_3.14-4 [34] hwriter_1.3 iterators_1.0.7 KernSmooth_2.23-10 [37] lattice_0.20-24 latticeExtra_0.6-26 locfit_1.5-9.1 [40] MASS_7.3-29 munsell_0.4.2 PFAM.db_2.14.0 [43] plyr_1.8.1 proto_0.3-10 RBGL_1.40.0 [46] RCurl_1.95-4.1 reshape2_1.2.2 R.methodsS3_1.6.1 [49] R.oo_1.18.0 Rsamtools_1.16.0 R.utils_1.29.8 [52] scales_0.2.4 sendmailR_1.1-2 splines_3.1.0 [55] stats4_3.1.0 stringr_0.6.2 survival_2.37-7 [58] tools_3.1.0 VariantAnnotation_1.10.0 XML_3.98-1.1 [61] XVector_0.4.0 zlibbioc_1.10.0 [[alternative HTML version deleted]]
Annotation GO Annotation GO • 1.6k views
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Assa Yeroslaviz ★ 1.5k
@assa-yeroslaviz-1597
Last seen 3 months ago
Germany
Hi all, I have solved the problem above by creating a character vector of the list of genes. thanks and sorry Assa On Thu, Apr 24, 2014 at 10:37 AM, Assa Yeroslaviz <frymor@gmail.com> wrote: > Hi Josh and Bioc User, > > I am having a problem creating the GO HTML report for a gene set out of > GOstats analysis. > > Here is what I do: > > selectedIDs <- resSig$entrez > #selectedIDs <- na.omit(selectedIDs) # not sure if needed > universeIDs <- res$entrez > # universeIDs <- na.omit(universeIDs) # not sure if needed > goParams <- new("GOHyperGParams", > geneIds = selectedIDs, > universeGeneIds = universeIDs, > annotation ="org.Mm.eg" , > ontology = "BP", > pvalueCutoff = 0.01, > conditional = TRUE, > testDirection = "over") > goResults <- hyperGTest(goParams) > df <- summary(goResults) > #dim(summary(goResults, pvalue=0.1)) > #dim(summary(goResults, categorySize=10)) > htmlReport(goResults, file="test_report.html") # this works just fine > > BPReport <- HTMLReport(shortName ='GO-BP_analysis_rnaseq', title = > paste("GO analysis of DE genes in the comparisonn of ", group1, "vs.", > group2, sep="") ,reportDirectory = "./GO_reports") > publish(goResults, BPReport, selectedIDs=selectedIDs, annotation.db=" > org.Mm.eg",pvalueCutoff= 0.05, makePlot=TRUE) > finish(BPReport) > > But when I run the publidh command I get the error: > > Error in unlist(mget(ids, ann.map, ifnotfound = NA)) : > error in evaluating the argument 'x' in selecting a method for function > 'unlist': Error in .checkKeysAreWellFormed(keys) : > keys must be supplied in a character vector with no NAs > > > I also tried your example from the web site ( > http://research-pub.gene.com/ReportingTools/microarray3.R) and got a > similar error massage: > > library(GOstats) > tt <- topTable(fit, coef = 2, n = 100) > selectedIDs <- unlist(mget(tt$ID, hgu95av2ENTREZID)) > universeIDs <- unlist(mget(featureNames(ALL), hgu95av2ENTREZID)) > goParams <- new("GOHyperGParams", > geneIds = selectedIDs, > universeGeneIds = universeIDs, > annotation = annotation(ALL), > ontology = "BP", > pvalueCutoff = 0.01, > conditional = TRUE, > testDirection = "over") > goResults <- hyperGTest(goParams) > > > ################################################### > ### Make the GO report > ################################################### > goReport <- HTMLReport(shortName = 'go_analysis', > title = 'GO analysis of BCR/ABL translocation', > reportDirectory = './reports') > publish(goResults, goReport, selectedIDs = selectedIDs, annotation.db = 'org.Hs.eg') > > > Warning message: > No results met the specified criteria. Returning 0-row data.frame > > > Error in unlist(mget(ids, ann.map, ifnotfound = NA)) : > error in evaluating the argument 'x' in selecting a method for function 'unlist': Error in .checkKeysAreWellFormed(keys) : > keys must be supplied in a character vector with no NAs > > > So I guess the prolem is not with my data set. > I would like to know if this have anything to do with the new version of R? > > thanks in afdvance, > > Assa > > > > sessionInfo() > R version 3.1.0 (2014-04-10) > Platform: x86_64-pc-linux-gnu (64-bit) > > locale: > [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C > [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 > [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 > [7] LC_PAPER=en_US.UTF-8 LC_NAME=C > [9] LC_ADDRESS=C LC_TELEPHONE=C > [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C > > attached base packages: > [1] parallel stats graphics grDevices utils datasets methods > [8] base > > other attached packages: > [1] xtable_1.7-3 org.Mm.eg.db_2.14.0 > GOstats_2.30.0 > [4] graph_1.42.0 Category_2.30.0 > GO.db_2.14.0 > [7] Matrix_1.1-2 biomaRt_2.20.0 > edgeR_3.6.0 > [10] limma_3.20.1 ReportingTools_2.4.0 > AnnotationDbi_1.26.0 > [13] Biobase_2.24.0 RSQLite_0.11.4 > DBI_0.2-7 > [16] knitr_1.5 rtracklayer_1.24.0 > gplots_2.13.0 > [19] RColorBrewer_1.0-5 genefilter_1.46.0 > DESeq2_1.4.0 > [22] RcppArmadillo_0.4.200.0 Rcpp_0.11.1 > GenomicRanges_1.16.2 > [25] GenomeInfoDb_1.0.2 IRanges_1.22.3 > BiocGenerics_0.10.0 > [28] BiocInstaller_1.14.1 > > loaded via a namespace (and not attached): > [1] annotate_1.42.0 AnnotationForge_1.6.0 > BatchJobs_1.2 > [4] BBmisc_1.5 BiocParallel_0.6.0 > Biostrings_2.32.0 > [7] biovizBase_1.12.0 bitops_1.0-6 > brew_1.0-6 > [10] BSgenome_1.32.0 caTools_1.17 > cluster_1.14.4 > [13] codetools_0.2-8 colorspace_1.2-4 > dichromat_2.0-0 > [16] digest_0.6.4 evaluate_0.5.3 > fail_1.2 > [19] foreach_1.4.2 formatR_0.10 > Formula_1.1-1 > [22] gdata_2.13.3 geneplotter_1.42.0 > GenomicAlignments_1.0.0 > [25] GenomicFeatures_1.16.0 ggbio_1.12.0 > ggplot2_0.9.3.1 > [28] grid_3.1.0 gridExtra_0.9.1 > GSEABase_1.26.0 > [31] gtable_0.1.2 gtools_3.4.0 > Hmisc_3.14-4 > [34] hwriter_1.3 iterators_1.0.7 > KernSmooth_2.23-10 > [37] lattice_0.20-24 latticeExtra_0.6-26 > locfit_1.5-9.1 > [40] MASS_7.3-29 munsell_0.4.2 > PFAM.db_2.14.0 > [43] plyr_1.8.1 proto_0.3-10 > RBGL_1.40.0 > [46] RCurl_1.95-4.1 reshape2_1.2.2 > R.methodsS3_1.6.1 > [49] R.oo_1.18.0 Rsamtools_1.16.0 > R.utils_1.29.8 > [52] scales_0.2.4 sendmailR_1.1-2 > splines_3.1.0 > [55] stats4_3.1.0 stringr_0.6.2 > survival_2.37-7 > [58] tools_3.1.0 VariantAnnotation_1.10.0 > XML_3.98-1.1 > [61] XVector_0.4.0 zlibbioc_1.10.0 > > [[alternative HTML version deleted]]
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@ankitabioinformatics-7111
Last seen 9.4 years ago

Hello,

I am also getting the following waring :

> gene_IDs_of_interest = head(unique(unlist(geneIds(GO_gsc))), 500)
> GO_BP = test_GO(gene_IDs_of_interest, ontology = "BP", gsc=GO_gsc, pval = 0.01)
> head(summary(GO_BP))

[1] GOBPID    Pvalue    OddsRatio ExpCount  Count     Size      Term     
<0 rows> (or 0-length row.names)
Warning message:
No results met the specified criteria.  Returning 0-row data.frame

I am using the codes given on

https://github.com/davfre/GOstatsPlus/blob/master/R/test-GO.R

https://github.com/davfre/GOstatsPlus/blob/master/vignettes/GOstatsPlus.Rmd

But if I run just for head (first six entries), I am getting the the values.

> gene_IDs_of_interest = head(unique(unlist(geneIds(GO_gsc))))
> GO_BP = test_GO(gene_IDs_of_interest, ontology = "BP", gsc=GO_gsc, pval = 0.01)
> head(summary(GO_BP))

>summary(GO_BP)
       GOBPID       Pvalue OddsRatio ExpCount Count Size
1  GO:0008152 0.0001011770 10.491228 15.38028    23   26
2  GO:0009058 0.0002195926       Inf  8.28169    14   14
3  GO:0044237 0.0004129494  8.666667 14.19718    21   24
4  GO:0009987 0.0005816573  6.229167 18.92958    26   32

...

Structure gene_IDs_of_interest:

> gene_IDs_of_interest = head(unique(unlist(geneIds(GO_gsc))),500)
> length(gene_IDs_of_interest)
[1] 130
> str(gene_IDs_of_interest)
 chr [1:130] "comp561024_c1_seq1" "comp559796_c2_seq1" ...

My input file which looks like this:
          go_id evidence             gene_id
1    GO:0000003      ISA  comp561024_c1_seq1
2    GO:0002376      ISA  comp550730_c0_seq1
3    GO:0002376      ISA  comp557737_c4_seq4
4    GO:0002376      ISA  comp562807_c1_seq1
.....

I think I am not defining the list "gene_Ids_of_Interest" properly. I would really appreciate any help.

Thanks

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