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I have been trying to use simplify() on the enrichment object I got from enrichGO. It was working well till yesterday, and today it shows me this error -
Error in as.list.default(X) : no method for coercing this S4 class to a vector
I haven't made any changes in the script, so I don't know why am I getting this error.
Code should be placed in three backticks as shown below
RKO_BV2_GOBP = enrichGO(gene = names(GO2), OrgDb = org.Mm.eg.db, universe = uni, readable = T, ont = "BP", pvalueCutoff= 0.05, qvalueCutoff = 0.1) #Performaing the enrichment analysis for Biological processes
RKO_BV2_GOBP = simplify(RKO_BV2_GOBP) #removing redundancy by using the simplify function.
The names(GO2) is basically a vector of the ENTREZ ID's of the genes.
sessionInfo( )
R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] heatmaply_1.3.0 viridis_0.6.2 viridisLite_0.4.0 plotly_4.10.0
[5] pheatmap_1.0.12 edgeR_3.36.0 limma_3.50.3 GO.db_3.14.0
[9] DESeq2_1.34.0 SummarizedExperiment_1.24.0 MatrixGenerics_1.6.0 matrixStats_0.62.0
[13] GenomicRanges_1.46.1 GenomeInfoDb_1.30.1 enrichplot_1.14.2 forcats_0.5.1
[17] stringr_1.4.0 dplyr_1.0.9 purrr_0.3.4 readr_2.1.2
[21] tidyr_1.2.0 tibble_3.1.8 ggplot2_3.3.6 tidyverse_1.3.2
[25] org.Mm.eg.db_3.14.0 AnnotationDbi_1.56.2 IRanges_2.28.0 S4Vectors_0.32.4
[29] Biobase_2.54.0 BiocGenerics_0.40.0 clusterProfiler_4.2.2
loaded via a namespace (and not attached):
[1] readxl_1.4.0 shadowtext_0.1.2 backports_1.4.1 fastmatch_1.1-3 plyr_1.8.7
[6] igraph_1.3.4 lazyeval_0.2.2 splines_4.1.2 BiocParallel_1.28.3 digest_0.6.29
[11] foreach_1.5.2 yulab.utils_0.0.5 htmltools_0.5.2 GOSemSim_2.20.0 fansi_1.0.3
[16] magrittr_2.0.3 memoise_2.0.1 googlesheets4_1.0.0 tzdb_0.3.0 annotate_1.72.0
[21] Biostrings_2.62.0 graphlayouts_0.8.0 modelr_0.1.8 colorspace_2.0-3 blob_1.2.3
[26] rvest_1.0.2 ggrepel_0.9.1 haven_2.5.0 xfun_0.29 crayon_1.5.1
[31] RCurl_1.98-1.8 jsonlite_1.8.0 scatterpie_0.1.7 genefilter_1.76.0 iterators_1.0.14
[36] survival_3.2-13 ape_5.6-2 glue_1.6.2 polyclip_1.10-0 registry_0.5-1
[41] gtable_0.3.0 gargle_1.2.0 zlibbioc_1.40.0 XVector_0.34.0 webshot_0.5.3
[46] DelayedArray_0.20.0 scales_1.2.0 DOSE_3.20.1 DBI_1.1.3 Rcpp_1.0.9
[51] xtable_1.8-4 gridGraphics_0.5-1 tidytree_0.3.9 bit_4.0.4 htmlwidgets_1.5.4
[56] httr_1.4.3 fgsea_1.20.0 RColorBrewer_1.1-3 ellipsis_0.3.2 XML_3.99-0.10
[61] pkgconfig_2.0.3 farver_2.1.1 dbplyr_2.2.1 locfit_1.5-9.6 utf8_1.2.2
[66] labeling_0.4.2 ggplotify_0.1.0 tidyselect_1.1.2 rlang_1.0.4 reshape2_1.4.4
[71] munsell_0.5.0 cellranger_1.1.0 tools_4.1.2 cachem_1.0.6 downloader_0.4
[76] cli_3.3.0 generics_0.1.3 RSQLite_2.2.15 broom_1.0.0 evaluate_0.15
[81] fastmap_1.1.0 yaml_2.2.1 ggtree_3.2.1 knitr_1.39 bit64_4.0.5
[86] fs_1.5.2 tidygraph_1.2.1 dendextend_1.16.0 KEGGREST_1.34.0 ggraph_2.0.5
[91] nlme_3.1-153 aplot_0.1.6 DO.db_2.9 xml2_1.3.3 compiler_4.1.2
[96] rstudioapi_0.13 png_0.1-7 reprex_2.0.1 treeio_1.18.1 geneplotter_1.72.0
[101] tweenr_1.0.2 stringi_1.7.6 lattice_0.20-45 Matrix_1.3-4 vctrs_0.4.1
[106] pillar_1.8.0 lifecycle_1.0.1 data.table_1.14.2 bitops_1.0-7 seriation_1.3.6
[111] patchwork_1.1.1 qvalue_2.26.0 R6_2.5.1 TSP_1.2-1 gridExtra_2.3
[116] codetools_0.2-18 MASS_7.3-54 assertthat_0.2.1 withr_2.5.0 GenomeInfoDbData_1.2.7
[121] parallel_4.1.2 hms_1.1.1 grid_4.1.2 ggfun_0.0.6 rmarkdown_2.14
[126] googledrive_2.0.0 ggforce_0.3.3 lubridate_1.8.0