topGO() analysis of DMPs in missMethyl methylation analysis
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Grace • 0
@609f1b8d
Last seen 19 months ago
United Kingdom

Hello, if you are able to help I would be so thankful!

I am using missMethyl to annotate my most significant DMPs of treatment response in a biomarker study. I have no significant DMPs but am continuing with this annotation anyway- this is part of the error message I am facing. I would still like to be able to see an object/table for toppaths (below), even if my top dmp/paths aren't significant. Is there any way I can do this?

Paths object is open in the right window and the console is on the left.

> toppaths <-topGO(paths, paths$N, ontology = c("BP", "CC", "MF"), sort = NULL, number = 10L,  truncate.term = NULL)

Error in if (p.value < 1) number <- min(number, sum(P <= p.value)) : 
  the condition has length > 1


sessionInfo( )
> sessionInfo()
R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United Kingdom.utf8 
[2] LC_CTYPE=English_United Kingdom.utf8   
[3] LC_MONETARY=English_United Kingdom.utf8
[4] LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.utf8    

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils    
[7] datasets  methods   base     

other attached packages:
 [1] installr_0.23.4                                    
 [2] DMRcate_2.12.0                                     
 [3] tidyr_1.3.0                                        
 [4] dplyr_1.1.1                                        
 [5] plyr_1.8.8                                         
 [6] BiasedUrn_2.0.9                                    
 [7] reshape2_1.4.4                                     
 [8] qqman_0.1.8                                        
 [9] GO.db_3.16.0                                       
[10] AnnotationDbi_1.60.2                               
[11] MatrixEQTL_2.3                                     
[12] data.table_1.14.8                                  
[13] limma_3.54.2                                       
[14] sqldf_0.4-11                                       
[15] RSQLite_2.3.1                                      
[16] gsubfn_0.7                                         
[17] proto_1.0.0                                        
[18] corpcor_1.6.10                                     
[19] missMethyl_1.32.1                                  
[20] IlluminaHumanMethylationEPICanno.ilm10b4.hg19_0.6.0
[21] FlowSorted.Blood.450k_1.36.0                       
[22] minfiData_0.44.0                                   
[23] IlluminaHumanMethylation450kanno.ilmn12.hg19_0.6.1 
[24] IlluminaHumanMethylation450kmanifest_0.4.0         
[25] CpGassoc_2.60                                      
[26] pcaMethods_1.90.0                                  
[27] sva_3.46.0                                         
[28] BiocParallel_1.32.6                                
[29] genefilter_1.80.3                                  
[30] mgcv_1.8-42                                        
[31] nlme_3.1-162                                       
[32] minfi_1.44.0                                       
[33] bumphunter_1.40.0                                  
[34] locfit_1.5-9.7                                     
[35] iterators_1.0.14                                   
[36] foreach_1.5.2                                      
[37] Biostrings_2.66.0                                  
[38] XVector_0.38.0                                     
[39] SummarizedExperiment_1.28.0                        
[40] Biobase_2.58.0                                     
[41] MatrixGenerics_1.10.0                              
[42] matrixStats_0.63.0                                 
[43] GenomicRanges_1.50.2                               
[44] GenomeInfoDb_1.34.9                                
[45] IRanges_2.32.0                                     
[46] S4Vectors_0.36.2                                   
[47] BiocGenerics_0.44.0                                

loaded via a namespace (and not attached):
  [1] utf8_1.2.3                    R.utils_2.12.2               
  [3] tidyselect_1.2.0              htmlwidgets_1.6.2            
  [5] grid_4.2.2                    munsell_0.5.0                
  [7] codetools_0.2-19              preprocessCore_1.60.2        
  [9] interp_1.1-4                  chron_2.3-60                 
 [11] statmod_1.5.0                 colorspace_2.1-0             
 [13] filelock_1.0.2                knitr_1.42                   
 [15] rstudioapi_0.14               GenomeInfoDbData_1.2.9       
 [17] bit64_4.0.5                   rhdf5_2.42.1                 
 [19] vctrs_0.6.2                   generics_0.1.3               
 [21] xfun_0.38                     biovizBase_1.46.0            
 [23] BiocFileCache_2.6.1           R6_2.5.1                     
 [25] illuminaio_0.40.0             AnnotationFilter_1.22.0      
 [27] bitops_1.0-7                  rhdf5filters_1.10.1          
 [29] cachem_1.0.7                  reshape_0.8.9                
 [31] DelayedArray_0.23.2           promises_1.2.0.1             
 [33] bsseq_1.34.0                  BiocIO_1.8.0                 
 [35] scales_1.2.1                  nnet_7.3-18                  
 [37] gtable_0.3.3                  ensembldb_2.22.0             
 [39] rlang_1.1.0                   calibrate_1.7.7              
 [41] splines_4.2.2                 lazyeval_0.2.2               
 [43] rtracklayer_1.58.0            DSS_2.46.0                   
 [45] GEOquery_2.66.0               dichromat_2.0-0.1            
 [47] checkmate_2.1.0               BiocManager_1.30.20          
 [49] yaml_2.3.7                    GenomicFeatures_1.50.4       
 [51] backports_1.4.1               httpuv_1.6.9                 
 [53] Hmisc_5.0-1                   tools_4.2.2                  
 [55] tcltk_4.2.2                   nor1mix_1.3-0                
 [57] ggplot2_3.4.2                 ellipsis_0.3.2               
 [59] RColorBrewer_1.1-3            siggenes_1.72.0              
 [61] Rcpp_1.0.10                   base64enc_0.1-3              
 [63] sparseMatrixStats_1.10.0      progress_1.2.2               
 [65] zlibbioc_1.44.0               purrr_1.0.1                  
 [67] RCurl_1.98-1.12               prettyunits_1.1.1            
 [69] deldir_1.0-6                  rpart_4.1.19                 
 [71] openssl_2.0.6                 cluster_2.1.4                
 [73] magrittr_2.0.3                ProtGenerics_1.30.0          
 [75] mime_0.12                     hms_1.1.3                    
 [77] evaluate_0.20                 xtable_1.8-4                 
 [79] XML_3.99-0.14                 jpeg_0.1-10                  
 [81] mclust_6.0.0                  gridExtra_2.3                
 [83] compiler_4.2.2                biomaRt_2.54.1               
 [85] tibble_3.2.1                  crayon_1.5.2                 
 [87] R.oo_1.25.0                   htmltools_0.5.5              
 [89] later_1.3.0                   tzdb_0.3.0                   
 [91] Formula_1.2-5                 DBI_1.1.3                    
 [93] ExperimentHub_2.6.0           dbplyr_2.3.2                 
 [95] MASS_7.3-58.3                 rappdirs_0.3.3               
 [97] Matrix_1.5-4                  readr_2.1.4                  
 [99] permute_0.9-7                 cli_3.6.1                    
[101] R.methodsS3_1.8.2             quadprog_1.5-8               
[103] Gviz_1.42.1                   pkgconfig_2.0.3              
[105] GenomicAlignments_1.34.1      foreign_0.8-84               
[107] xml2_1.3.3                    annotate_1.76.0              
[109] rngtools_1.5.2                multtest_2.54.0              
[111] beanplot_1.3.1                doRNG_1.8.6                  
[113] scrime_1.3.5                  VariantAnnotation_1.44.1     
[115] stringr_1.5.0                 digest_0.6.31                
[117] rmarkdown_2.21                base64_2.0.1                 
[119] htmlTable_2.4.1               edgeR_3.40.2                 
[121] DelayedMatrixStats_1.20.0     restfulr_0.0.15              
[123] curl_5.0.0                    shiny_1.7.4                  
[125] gtools_3.9.4                  Rsamtools_2.14.0             
[127] rjson_0.2.21                  lifecycle_1.0.3              
[129] Rhdf5lib_1.20.0               askpass_1.1                  
[131] BSgenome_1.66.3               fansi_1.0.4                  
[133] pillar_1.9.0                  lattice_0.21-8               
[135] KEGGREST_1.38.0               fastmap_1.1.1                
[137] httr_1.4.5                    survival_3.5-5               
[139] interactiveDisplayBase_1.36.0 glue_1.6.2                   
[141] png_0.1-8                     BiocVersion_3.16.0           
[143] bit_4.0.5                     stringi_1.7.12               
[145] HDF5Array_1.26.0              blob_1.2.4                   
[147] AnnotationHub_3.6.0           org.Hs.eg.db_3.16.0          
[149] latticeExtra_0.6-30           memoise_2.0.1  
![enter image description here][1]
DNAMethylation missMethyl Pathways • 688 views
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