Closed SuperSe7enF closed 1 month ago
Hello! Thank you for creating such an awesome package! When i run this function, I had a error.
Code to run hdWGCNA initialization: sce1 <- ModuleEigengenes(sce1, group.by.vars = 'orig.ident') Error in !CheckWGCNAName(seurat_obj, wgcna_name) : 参数种类不对
R session info R version 4.3.1 (2023-06-16) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.6 LTS
Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3 LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so; LAPACK version 3.7.1
locale: [1] LC_CTYPE=zh_CN.UTF-8 LC_NUMERIC=C LC_TIME=zh_CN.UTF-8 LC_COLLATE=zh_CN.UTF-8 [5] LC_MONETARY=zh_CN.UTF-8 LC_MESSAGES=zh_CN.UTF-8 LC_PAPER=zh_CN.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=zh_CN.UTF-8 LC_IDENTIFICATION=C
time zone: Asia/Shanghai tzcode source: system (glibc)
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] patchwork_1.1.3.9000 cowplot_1.1.1 lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0 [6] dplyr_1.1.2 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0 tibble_3.2.1 [11] tidyverse_2.0.0 hdWGCNA_0.3.00 igraph_1.5.0 WGCNA_1.72-1 fastcluster_1.2.3 [16] dynamicTreeCut_1.63-1 ggrepel_0.9.3 ggplot2_3.4.2 SeuratObject_4.1.3 Seurat_4.3.0 [21] harmony_1.2.0 Rcpp_1.0.10
loaded via a namespace (and not attached): [1] fs_1.6.2 matrixStats_1.0.0 spatstat.sparse_3.0-1 bitops_1.0-7 [5] enrichplot_1.20.0 HDO.db_0.99.1 httr_1.4.6 RColorBrewer_1.1-3 [9] doParallel_1.0.17 tools_4.3.1 sctransform_0.3.5 backports_1.4.1 [13] DT_0.28 utf8_1.2.3 R6_2.5.1 lazyeval_0.2.2 [17] uwot_0.1.14 GetoptLong_1.0.5 withr_2.5.0 sp_1.6-1 [21] gridExtra_2.3 preprocessCore_1.62.1 SeuratWrappers_0.3.1 progressr_0.13.0 [25] cli_3.6.1 Biobase_2.60.0 spatstat.explore_3.2-1 scatterpie_0.2.1 [29] labeling_0.4.2 spatstat.data_3.0-1 proxy_0.4-27 ggridges_0.5.4 [33] pbapply_1.7-0 ggheatmap_2.11 yulab.utils_0.1.4 gson_0.1.0 [37] foreign_0.8-82 DOSE_3.26.1 R.utils_2.12.2 parallelly_1.36.0 [41] impute_1.74.1 rstudioapi_0.14 RSQLite_2.3.1 FNN_1.1.3.2 [45] generics_0.1.3 gridGraphics_0.5-1 shape_1.4.6 ica_1.0-3 [49] spatstat.random_3.1-5 dendextend_1.17.1 car_3.1-2 GO.db_3.17.0 [53] Matrix_1.6-0 fansi_1.0.4 S4Vectors_0.38.1 abind_1.4-5 [57] R.methodsS3_1.8.2 lifecycle_1.0.3 carData_3.0-5 qvalue_2.32.0 [61] Rtsne_0.16 grid_4.3.1 blob_1.2.4 promises_1.2.0.1 [65] crayon_1.5.2 miniUI_0.1.1.1 lattice_0.21-8 KEGGREST_1.40.0 [69] knitr_1.43 pillar_1.9.0 ComplexHeatmap_2.16.0 fgsea_1.26.0 [73] rjson_0.2.21 future.apply_1.11.0 codetools_0.2-19 fastmatch_1.1-3 [77] leiden_0.4.3 glue_1.6.2 downloader_0.4 ggfun_0.1.0 [81] data.table_1.14.8 remotes_2.4.2 vctrs_0.6.3 png_0.1-8 [85] treeio_1.24.1 gtable_0.3.3 cachem_1.0.8 xfun_0.39 [89] mime_0.12 tidygraph_1.2.3 survival_3.5-5 pheatmap_1.0.12 [93] iterators_1.0.14 ellipsis_0.3.2 fitdistrplus_1.1-11 ROCR_1.0-11 [97] nlme_3.1-162 ggtree_3.8.0 bit64_4.0.5 RcppAnnoy_0.0.20 [101] GenomeInfoDb_1.36.0 irlba_2.3.5.1 KernSmooth_2.23-22 rpart_4.1.19 [105] colorspace_2.1-0 BiocGenerics_0.46.0 DBI_1.1.3 Hmisc_5.1-0 [109] nnet_7.3-19 tidyselect_1.2.0 bit_4.0.5 compiler_4.3.1 [113] htmlTable_2.4.1 plotly_4.10.2 shadowtext_0.1.2 checkmate_2.2.0 [117] scales_1.3.0 lmtest_0.9-40 digest_0.6.31 goftest_1.2-3 [121] spatstat.utils_3.0-3 rmarkdown_2.22 XVector_0.40.0 RhpcBLASctl_0.23-42 [125] htmltools_0.5.5 pkgconfig_2.0.3 base64enc_0.1-3 fastmap_1.1.1 [129] rlang_1.1.1 GlobalOptions_0.1.2 htmlwidgets_1.6.2 shiny_1.7.4 [133] farver_2.1.1 zoo_1.8-12 jsonlite_1.8.5 BiocParallel_1.34.2 [137] GOSemSim_2.26.1 R.oo_1.25.0 RCurl_1.98-1.12 magrittr_2.0.3 [141] Formula_1.2-5 GenomeInfoDbData_1.2.10 ggplotify_0.1.2 munsell_0.5.0 [145] ape_5.7-1 viridis_0.6.3 reticulate_1.34.0 stringi_1.7.12 [149] ggraph_2.1.0 jjAnno_0.0.3 zlibbioc_1.46.0 MASS_7.3-60 [153] plyr_1.8.8 parallel_4.3.1 listenv_0.9.0 deldir_1.0-9 [157] Biostrings_2.68.1 graphlayouts_1.0.0 splines_4.3.1 tensor_1.5 [161] hms_1.1.3 circlize_0.4.15 clustree_0.5.0 ggpubr_0.6.0 [165] spatstat.geom_3.2-1 ggsignif_0.6.4 reshape2_1.4.4 stats4_4.3.1 [169] evaluate_0.21 tester_0.1.7 BiocManager_1.30.21 tzdb_0.4.0 [173] foreach_1.5.2 tweenr_2.0.2 httpuv_1.6.11 RANN_2.6.1 [177] polyclip_1.10-4 future_1.32.0 clue_0.3-64 scattermore_1.2 [181] ggforce_0.4.1 rsvd_1.0.5 broom_1.0.5 xtable_1.8-4 [185] tidytree_0.4.2 rstatix_0.7.2 later_1.3.1 viridisLite_0.4.2 [189] clusterProfiler_4.8.3 aplot_0.1.10 memoise_2.0.1 AnnotationDbi_1.62.1 [193] IRanges_2.34.0 cluster_2.1.4 timechange_0.2.0 globals_0.16.2
Can you please update to the latest version of hdWGCNA and try again?
Upgrading hdWGCNA to version 0.3.01 worked for me, thank you!
Hello! Thank you for creating such an awesome package! When i run this function, I had a error.
Code to run hdWGCNA initialization: sce1 <- ModuleEigengenes(sce1, group.by.vars = 'orig.ident') Error in !CheckWGCNAName(seurat_obj, wgcna_name) : 参数种类不对
R session info R version 4.3.1 (2023-06-16) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.6 LTS
Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3 LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so; LAPACK version 3.7.1
locale: [1] LC_CTYPE=zh_CN.UTF-8 LC_NUMERIC=C LC_TIME=zh_CN.UTF-8 LC_COLLATE=zh_CN.UTF-8
[5] LC_MONETARY=zh_CN.UTF-8 LC_MESSAGES=zh_CN.UTF-8 LC_PAPER=zh_CN.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=zh_CN.UTF-8 LC_IDENTIFICATION=C
time zone: Asia/Shanghai tzcode source: system (glibc)
attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] patchwork_1.1.3.9000 cowplot_1.1.1 lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0
[6] dplyr_1.1.2 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0 tibble_3.2.1
[11] tidyverse_2.0.0 hdWGCNA_0.3.00 igraph_1.5.0 WGCNA_1.72-1 fastcluster_1.2.3
[16] dynamicTreeCut_1.63-1 ggrepel_0.9.3 ggplot2_3.4.2 SeuratObject_4.1.3 Seurat_4.3.0
[21] harmony_1.2.0 Rcpp_1.0.10
loaded via a namespace (and not attached): [1] fs_1.6.2 matrixStats_1.0.0 spatstat.sparse_3.0-1 bitops_1.0-7
[5] enrichplot_1.20.0 HDO.db_0.99.1 httr_1.4.6 RColorBrewer_1.1-3
[9] doParallel_1.0.17 tools_4.3.1 sctransform_0.3.5 backports_1.4.1
[13] DT_0.28 utf8_1.2.3 R6_2.5.1 lazyeval_0.2.2
[17] uwot_0.1.14 GetoptLong_1.0.5 withr_2.5.0 sp_1.6-1
[21] gridExtra_2.3 preprocessCore_1.62.1 SeuratWrappers_0.3.1 progressr_0.13.0
[25] cli_3.6.1 Biobase_2.60.0 spatstat.explore_3.2-1 scatterpie_0.2.1
[29] labeling_0.4.2 spatstat.data_3.0-1 proxy_0.4-27 ggridges_0.5.4
[33] pbapply_1.7-0 ggheatmap_2.11 yulab.utils_0.1.4 gson_0.1.0
[37] foreign_0.8-82 DOSE_3.26.1 R.utils_2.12.2 parallelly_1.36.0
[41] impute_1.74.1 rstudioapi_0.14 RSQLite_2.3.1 FNN_1.1.3.2
[45] generics_0.1.3 gridGraphics_0.5-1 shape_1.4.6 ica_1.0-3
[49] spatstat.random_3.1-5 dendextend_1.17.1 car_3.1-2 GO.db_3.17.0
[53] Matrix_1.6-0 fansi_1.0.4 S4Vectors_0.38.1 abind_1.4-5
[57] R.methodsS3_1.8.2 lifecycle_1.0.3 carData_3.0-5 qvalue_2.32.0
[61] Rtsne_0.16 grid_4.3.1 blob_1.2.4 promises_1.2.0.1
[65] crayon_1.5.2 miniUI_0.1.1.1 lattice_0.21-8 KEGGREST_1.40.0
[69] knitr_1.43 pillar_1.9.0 ComplexHeatmap_2.16.0 fgsea_1.26.0
[73] rjson_0.2.21 future.apply_1.11.0 codetools_0.2-19 fastmatch_1.1-3
[77] leiden_0.4.3 glue_1.6.2 downloader_0.4 ggfun_0.1.0
[81] data.table_1.14.8 remotes_2.4.2 vctrs_0.6.3 png_0.1-8
[85] treeio_1.24.1 gtable_0.3.3 cachem_1.0.8 xfun_0.39
[89] mime_0.12 tidygraph_1.2.3 survival_3.5-5 pheatmap_1.0.12
[93] iterators_1.0.14 ellipsis_0.3.2 fitdistrplus_1.1-11 ROCR_1.0-11
[97] nlme_3.1-162 ggtree_3.8.0 bit64_4.0.5 RcppAnnoy_0.0.20
[101] GenomeInfoDb_1.36.0 irlba_2.3.5.1 KernSmooth_2.23-22 rpart_4.1.19
[105] colorspace_2.1-0 BiocGenerics_0.46.0 DBI_1.1.3 Hmisc_5.1-0
[109] nnet_7.3-19 tidyselect_1.2.0 bit_4.0.5 compiler_4.3.1
[113] htmlTable_2.4.1 plotly_4.10.2 shadowtext_0.1.2 checkmate_2.2.0
[117] scales_1.3.0 lmtest_0.9-40 digest_0.6.31 goftest_1.2-3
[121] spatstat.utils_3.0-3 rmarkdown_2.22 XVector_0.40.0 RhpcBLASctl_0.23-42
[125] htmltools_0.5.5 pkgconfig_2.0.3 base64enc_0.1-3 fastmap_1.1.1
[129] rlang_1.1.1 GlobalOptions_0.1.2 htmlwidgets_1.6.2 shiny_1.7.4
[133] farver_2.1.1 zoo_1.8-12 jsonlite_1.8.5 BiocParallel_1.34.2
[137] GOSemSim_2.26.1 R.oo_1.25.0 RCurl_1.98-1.12 magrittr_2.0.3
[141] Formula_1.2-5 GenomeInfoDbData_1.2.10 ggplotify_0.1.2 munsell_0.5.0
[145] ape_5.7-1 viridis_0.6.3 reticulate_1.34.0 stringi_1.7.12
[149] ggraph_2.1.0 jjAnno_0.0.3 zlibbioc_1.46.0 MASS_7.3-60
[153] plyr_1.8.8 parallel_4.3.1 listenv_0.9.0 deldir_1.0-9
[157] Biostrings_2.68.1 graphlayouts_1.0.0 splines_4.3.1 tensor_1.5
[161] hms_1.1.3 circlize_0.4.15 clustree_0.5.0 ggpubr_0.6.0
[165] spatstat.geom_3.2-1 ggsignif_0.6.4 reshape2_1.4.4 stats4_4.3.1
[169] evaluate_0.21 tester_0.1.7 BiocManager_1.30.21 tzdb_0.4.0
[173] foreach_1.5.2 tweenr_2.0.2 httpuv_1.6.11 RANN_2.6.1
[177] polyclip_1.10-4 future_1.32.0 clue_0.3-64 scattermore_1.2
[181] ggforce_0.4.1 rsvd_1.0.5 broom_1.0.5 xtable_1.8-4
[185] tidytree_0.4.2 rstatix_0.7.2 later_1.3.1 viridisLite_0.4.2
[189] clusterProfiler_4.8.3 aplot_0.1.10 memoise_2.0.1 AnnotationDbi_1.62.1
[193] IRanges_2.34.0 cluster_2.1.4 timechange_0.2.0 globals_0.16.2