topGO() analysis of DMPs in missMethyl methylation analysis
0
0
Entering edit mode
Grace • 0
@609f1b8d
Last seen 18 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 • 670 views
ADD COMMENT
0
Entering edit mode

enter image description here

ADD REPLY

Login before adding your answer.

Traffic: 783 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6