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first remote error: 'ssgseaParam' is not an exported object from 'namespace:GSVA' #168

@swetasha

Description

@swetasha

Hello, I am running into this issue when running escape.matrix. Could you please help me, I did install GSVA but I am getting this error. Please see the attached session info.

Thank you so much!

new_gene_set<- c("GOBP_NEGATIVE_REGULATION_OF_CELL_CELL_ADHESION_MEDIATED_BY_CADHERIN", 
                 "GOBP_CELL_CELL_ADHESION",
                 "GOBP_CELL_CELL_ADHESION_MEDIATED_BY_CADHERIN",
                 "GOBP_CELL_CELL_ADHESION_MEDIATED_BY_INTEGRIN",
                 "GOBP_CELL_CELL_ADHESION_VIA_PLASMA_MEMBRANE_ADHESION_MOLECULES",
                 "GOBP_SPINDLE_ELONGATION", "GOBP_EPITHELIAL_CELL_CELL_ADHESION",
                 "GOBP_NEGATIVE_REGULATION_OF_CELL_ADHESION",
                 "GOBP_NEGATIVE_REGULATION_OF_CELL_ADHESION_MEDIATED_BY_INTEGRIN", "GOBP_NEGATIVE_REGULATION_OF_CELL_CELL_ADHESION_MEDIATED_BY_CADHERIN")

gene.sets_2<- getGeneSets(library= c("C5"),  gene.sets = new_gene_set, species= "Mus musculus")

> enrichment.scores <- escape.matrix(seurat_obj, 
+                                    gene.sets = gene.sets_2, 
+                                    groups = 1000, 
+                                    min.size = 5)
escape.matrix(): processing 9 chunk(s)...
Error: BiocParallel errors
  1 remote errors, element index: 1
  8 unevaluated and other errors
  first remote error: 'ssgseaParam' is not an exported object from 'namespace:GSVA'
> sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.6 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               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    LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
[1] GSVA_1.42.0        escape_2.5.4       dplyr_1.1.4        ggplot2_3.5.2      SeuratObject_4.1.3 Seurat_4.3.0.1    
[7] Signac_1.10.0     
loaded via a namespace (and not attached):
  [1] spatstat.explore_3.4-3      reticulate_1.42.0           tidyselect_1.2.1            RSQLite_2.4.1              
  [5] AnnotationDbi_1.56.2        htmlwidgets_1.6.4           grid_4.1.0                  BiocParallel_1.28.3        
  [9] Rtsne_0.17                  ScaledMatrix_1.2.0          codetools_0.2-18            ica_1.0-3                  
 [13] future_1.58.0               miniUI_0.1.2                withr_3.0.2                 spatstat.random_3.4-1      
 [17] colorspace_2.1-1            progressr_0.15.1            Biobase_2.54.0              rstudioapi_0.17.1          
 [21] stats4_4.1.0                SingleCellExperiment_1.16.0 ROCR_1.0-11                 ggsignif_0.6.4             
 [25] tensor_1.5.1                listenv_0.9.1               MatrixGenerics_1.6.0        GenomeInfoDbData_1.2.7     
 [29] polyclip_1.10-7             bit64_4.6.0-1               farver_2.1.2                rhdf5_2.38.1               
 [33] parallelly_1.45.0           vctrs_0.6.5                 generics_0.1.4              R6_2.6.1                   
 [37] GenomeInfoDb_1.30.1         rsvd_1.0.5                  spatstat.univar_3.1-3       bitops_1.0-9               
 [41] rhdf5filters_1.6.0          spatstat.utils_3.1-4        cachem_1.1.0                DelayedArray_0.20.0        
 [45] promises_1.3.3              scales_1.4.0                gtable_0.3.6                beachmat_2.10.0            
 [49] globals_0.18.0              goftest_1.2-3               rlang_1.1.6                 RcppRoll_0.3.1             
 [53] splines_4.1.0               rstatix_0.7.2               lazyeval_0.2.2              dichromat_2.0-0.1          
 [57] spatstat.geom_3.4-1         broom_1.0.8                 BiocManager_1.30.26         reshape2_1.4.4             
 [61] abind_1.4-8                 backports_1.5.0             httpuv_1.6.16               tools_4.1.0                
 [65] RColorBrewer_1.1-3          BiocGenerics_0.40.0         ggridges_0.5.6              Rcpp_1.0.14                
 [69] plyr_1.8.9                  sparseMatrixStats_1.6.0     zlibbioc_1.40.0             purrr_1.0.4                
 [73] RCurl_1.98-1.17             ggpubr_0.6.0                deldir_2.0-4                pbapply_1.7-2              
 [77] cowplot_1.1.3               S4Vectors_0.32.4            zoo_1.8-14                  SummarizedExperiment_1.24.0
 [81] ggrepel_0.9.6               cluster_2.1.8.1             magrittr_2.0.3              data.table_1.17.6          
 [85] scattermore_1.2             ggdist_3.3.3                lmtest_0.9-40               RANN_2.6.2                 
 [89] fitdistrplus_1.2-2          matrixStats_1.5.0           patchwork_1.3.1             mime_0.13                  
 [93] xtable_1.8-4                XML_3.99-0.18               IRanges_2.28.0              gridExtra_2.3              
 [97] compiler_4.1.0              tibble_3.3.0                KernSmooth_2.23-20          crayon_1.5.3               
[101] htmltools_0.5.8.1           later_1.4.2                 Formula_1.2-5               tidyr_1.3.1                
[105] DBI_1.2.3                   MASS_7.3-60                 Matrix_1.6-1                car_3.1-3                  
[109] cli_3.6.5                   parallel_4.1.0              igraph_2.1.4                GenomicRanges_1.46.1       
[113] pkgconfig_2.0.3             sp_2.2-0                    plotly_4.11.0               spatstat.sparse_3.1-0      
[117] annotate_1.72.0             XVector_0.34.0              stringr_1.5.1               distributional_0.5.0       
[121] digest_0.6.37               sctransform_0.4.2           RcppAnnoy_0.0.22            graph_1.72.0               
[125] spatstat.data_3.1-6         Biostrings_2.62.0           leiden_0.4.3.1              fastmatch_1.1-6            
[129] uwot_0.2.3                  DelayedMatrixStats_1.16.0   GSEABase_1.56.0             shiny_1.11.0               
[133] Rsamtools_2.10.0            lifecycle_1.0.4             nlme_3.1-168                jsonlite_2.0.0             
[137] Rhdf5lib_1.16.0             carData_3.0-5               viridisLite_0.4.2           pillar_1.10.2              
[141] lattice_0.22-7              KEGGREST_1.34.0             fastmap_1.2.0               httr_1.4.7                 
[145] survival_3.8-3              glue_1.8.0                  png_0.1-8                   bit_4.6.0                  
[149] stringi_1.8.7               HDF5Array_1.22.1            blob_1.2.4                  BiocSingular_1.10.0        
[153] memoise_2.0.1               irlba_2.3.5.1               future.apply_1.20.0        
`

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