R version 4.5.3 (2026-03-11)
Platform: x86_64-conda-linux-gnu
Running under: Ubuntu 24.04.4 LTS

Matrix products: default
BLAS/LAPACK: /opt/conda/envs/r-analysis/lib/libopenblasp-r0.3.33.so;  LAPACK version 3.12.0

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: Asia/Seoul
tzcode source: system (glibc)

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

loaded via a namespace (and not attached):
  [1] deldir_2.0-4           pbapply_1.7-4          gridExtra_2.3.1       
  [4] rlang_1.3.0            magrittr_2.0.5         RcppAnnoy_0.0.23      
  [7] otel_0.2.0             matrixStats_1.5.0      ggridges_0.5.7        
 [10] compiler_4.5.3         spatstat.geom_3.8-1    png_0.1-9             
 [13] vctrs_0.7.3            reshape2_1.4.5         stringr_1.6.0         
 [16] pkgconfig_2.0.3        fastmap_1.2.0          promises_1.5.0        
 [19] purrr_1.2.2            jsonlite_2.0.0         goftest_1.2-3         
 [22] later_1.4.8            spatstat.utils_3.2-4   irlba_2.3.7           
 [25] parallel_4.5.3         cluster_2.1.8.2        R6_2.6.1              
 [28] ica_1.0-3              stringi_1.8.7          RColorBrewer_1.1-3    
 [31] spatstat.data_3.1-9    reticulate_1.46.0      parallelly_1.48.0     
 [34] spatstat.univar_3.2-0  lmtest_0.9-40          scattermore_1.2       
 [37] Rcpp_1.1.2             tensor_1.5.1           future.apply_1.20.2   
 [40] zoo_1.8-15             sctransform_0.4.3      httpuv_1.6.17         
 [43] Matrix_1.7-5           splines_4.5.3          igraph_2.3.3          
 [46] tidyselect_1.2.1       abind_1.4-8            yaml_2.3.12           
 [49] codetools_0.2-20       spatstat.random_3.4-5  miniUI_0.1.2          
 [52] spatstat.explore_3.8-0 listenv_1.0.0          lattice_0.22-9        
 [55] tibble_3.3.1           plyr_1.8.9             shiny_1.14.0          
 [58] S7_0.2.2               ROCR_1.0-12            Rtsne_0.17            
 [61] future_1.75.0          survival_3.8-9         polyclip_1.10-7       
 [64] fitdistrplus_1.2-6     pillar_1.11.1          Seurat_4.4.0          
 [67] KernSmooth_2.23-26     plotly_4.12.1          generics_0.1.4        
 [70] sp_2.2-3               ggplot2_4.0.3          scales_1.4.0          
 [73] globals_0.19.1         xtable_1.8-8           glue_1.8.1            
 [76] tools_4.5.3            data.table_1.18.4      RANN_2.6.2            
 [79] leiden_0.4.3.1         cowplot_1.2.0          grid_4.5.3            
 [82] tidyr_1.3.2            nlme_3.1-170           patchwork_1.3.2       
 [85] cli_3.6.6              spatstat.sparse_3.2-0  viridisLite_0.4.3     
 [88] dplyr_1.2.1            uwot_0.2.4             gtable_0.3.6          
 [91] digest_0.6.39          progressr_1.0.0        ggrepel_0.9.8         
 [94] htmlwidgets_1.6.4      SeuratObject_4.1.4     farver_2.1.2          
 [97] htmltools_0.5.9        lifecycle_1.0.5        httr_1.4.8            
[100] mime_0.13              MASS_7.3-66