R version 4.3.3 (2024-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 24.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.12.0 
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0

Random number generation:
 RNG:     L'Ecuyer-CMRG 
 Normal:  Inversion 
 Sample:  Rejection 
 
locale:
 [1] LC_CTYPE=C.UTF-8       LC_NUMERIC=C           LC_TIME=C.UTF-8       
 [4] LC_COLLATE=C.UTF-8     LC_MONETARY=C.UTF-8    LC_MESSAGES=C.UTF-8   
 [7] LC_PAPER=C.UTF-8       LC_NAME=C              LC_ADDRESS=C          
[10] LC_TELEPHONE=C         LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C   

time zone: Europe/Paris
tzcode source: system (glibc)

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

loaded via a namespace (and not attached):
  [1] RColorBrewer_1.1-3          jsonlite_1.8.8             
  [3] magrittr_2.0.3              spatstat.utils_3.0-4       
  [5] farver_2.1.1                zlibbioc_1.48.0            
  [7] vctrs_0.6.5                 ROCR_1.0-11                
  [9] DelayedMatrixStats_1.24.0   spatstat.explore_3.2-5     
 [11] RCurl_1.98-1.14             htmltools_0.5.7            
 [13] S4Arrays_1.2.0              BiocNeighbors_1.20.2       
 [15] SparseArray_1.2.4           sctransform_0.4.1          
 [17] parallelly_1.37.1           KernSmooth_2.23-22         
 [19] htmlwidgets_1.6.4           ica_1.0-3                  
 [21] plyr_1.8.9                  plotly_4.10.4              
 [23] zoo_1.8-12                  igraph_1.6.0               
 [25] mime_0.12                   lifecycle_1.0.4            
 [27] pkgconfig_2.0.3             rsvd_1.0.5                 
 [29] Matrix_1.6-5                R6_2.5.1                   
 [31] fastmap_1.1.1               GenomeInfoDbData_1.2.11    
 [33] MatrixGenerics_1.14.0       fitdistrplus_1.1-11        
 [35] future_1.33.1               shiny_1.8.0                
 [37] digest_0.6.34               colorspace_2.1-0           
 [39] patchwork_1.2.0             S4Vectors_0.40.2           
 [41] Seurat_5.0.1                tensor_1.5                 
 [43] dqrng_0.3.2                 RSpectra_0.16-1            
 [45] irlba_2.3.5.1               GenomicRanges_1.54.1       
 [47] beachmat_2.18.1             labeling_0.4.3             
 [49] progressr_0.14.0            fansi_1.0.5                
 [51] spatstat.sparse_3.0-3       httr_1.4.7                 
 [53] polyclip_1.10-6             abind_1.4-5                
 [55] compiler_4.3.3              withr_2.5.0                
 [57] BiocParallel_1.36.0         fastDummies_1.7.3          
 [59] lisi_1.0                    MASS_7.3-60.0.1            
 [61] DelayedArray_0.28.0         bluster_1.12.0             
 [63] tools_4.3.3                 lmtest_0.9-40              
 [65] httpuv_1.6.14               future.apply_1.11.1        
 [67] goftest_1.2-3               glue_1.7.0                 
 [69] nlme_3.1-164                promises_1.2.1             
 [71] grid_4.3.3                  Rtsne_0.17                 
 [73] cluster_2.1.6               reshape2_1.4.4             
 [75] generics_0.1.3              gtable_0.3.4               
 [77] spatstat.data_3.0-4         tidyr_1.3.1                
 [79] data.table_1.14.10          metapod_1.10.1             
 [81] BiocSingular_1.18.0         ScaledMatrix_1.10.0        
 [83] sp_2.1-2                    utf8_1.2.4                 
 [85] XVector_0.42.0              BiocGenerics_0.48.1        
 [87] spatstat.geom_3.2-8         RcppAnnoy_0.0.22           
 [89] ggrepel_0.9.5               RANN_2.6.1                 
 [91] pillar_1.9.0                stringr_1.5.1              
 [93] limma_3.58.1                spam_2.10-0                
 [95] RcppHNSW_0.5.0              later_1.3.2                
 [97] splines_4.3.3               dplyr_1.1.4                
 [99] lattice_0.22-5              survival_3.5-8             
[101] deldir_2.0-4                tidyselect_1.2.0           
[103] locfit_1.5-9.8              SingleCellExperiment_1.24.0
[105] scuttle_1.12.0              miniUI_0.1.1.1             
[107] pbapply_1.7-2               gridExtra_2.3              
[109] IRanges_2.36.0              edgeR_4.0.16               
[111] SummarizedExperiment_1.32.0 scattermore_1.2            
[113] RhpcBLASctl_0.23-42         stats4_4.3.3               
[115] Biobase_2.62.0              statmod_1.5.0              
[117] matrixStats_1.2.0           stringi_1.8.3              
[119] lazyeval_0.2.2              codetools_0.2-19           
[121] tibble_3.2.1                cli_3.6.2                  
[123] uwot_0.1.16                 xtable_1.8-4               
[125] reticulate_1.35.0           munsell_0.5.0              
[127] harmony_1.2.3               GenomeInfoDb_1.38.6        
[129] Rcpp_1.0.12                 globals_0.16.2             
[131] spatstat.random_3.2-2       png_0.1-8                  
[133] parallel_4.3.3              ellipsis_0.3.2             
[135] ggplot2_3.4.4               SingleR_2.4.1              
[137] dotCall64_1.1-1             scran_1.30.2               
[139] bitops_1.0-7                sparseMatrixStats_1.14.0   
[141] listenv_0.9.1               viridisLite_0.4.2          
[143] scales_1.3.0                ggridges_0.5.6             
[145] SeuratObject_5.0.1          leiden_0.4.3.1             
[147] purrr_1.0.2                 crayon_1.5.2               
[149] rlang_1.1.3                 cowplot_1.1.3              
