Error in findICF - 'result_cells' not found

[daniannr]

Hi there, I keep getting an error in findICF that looks like this:

> ICGscoresHighGenes = findICF(gobject = g, selected_feats = high_expressed_genes,
                         spatial_network_name = 'Delaunay_network', 
                         cluster_column = 'full_12062025',
                         diff_test = 'wilcox', 
                         adjust_method = 'fdr', 
                         nr_permutations = 2, 
                         do_parallel = FALSE)
Error in .findCellProximityFeats_per_interaction(expr_values = expr_values,  : 
  object 'result_cells' not found

My complete code here:
findICF_code.txt

Session info:

> sessionInfo()
R version 4.4.3 (2025-02-28)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.1 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/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] 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   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

time zone: Etc/UTC
tzcode source: system (glibc)

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

other attached packages:
 [1] BPCells_0.3.0      lubridate_1.9.4    forcats_1.0.0      stringr_1.5.1     
 [5] dplyr_1.1.4        purrr_1.0.4        readr_2.1.5        tidyr_1.3.1       
 [9] tibble_3.3.0       tidyverse_2.0.0    ggplot2_3.5.2      Seurat_5.3.0      
[13] SeuratObject_5.1.0 sp_2.2-0           Giotto_4.2.2       GiottoClass_0.4.8 

loaded via a namespace (and not attached):
  [1] RcppAnnoy_0.0.22         splines_4.4.3            later_1.4.1             
  [4] polyclip_1.10-7          fastDummies_1.7.5        lifecycle_1.0.4         
  [7] globals_0.18.0           lattice_0.22-6           MASS_7.3-64             
 [10] backports_1.5.0          magrittr_2.0.3           plotly_4.11.0           
 [13] httpuv_1.6.15            sctransform_0.4.2        spam_2.11-1             
 [16] spatstat.sparse_3.1-0    reticulate_1.42.0        cowplot_1.1.3           
 [19] pbapply_1.7-2            RColorBrewer_1.1-3       abind_1.4-8             
 [22] zlibbioc_1.52.0          Rtsne_0.17               GenomicRanges_1.58.0    
 [25] ggraph_2.2.1             BiocGenerics_0.52.0      tweenr_2.0.3            
 [28] rappdirs_0.3.3           GenomeInfoDbData_1.2.13  IRanges_2.40.1          
 [31] S4Vectors_0.44.0         ggrepel_0.9.6            irlba_2.3.5.1           
 [34] listenv_0.9.1            spatstat.utils_3.1-2     terra_1.8-29            
 [37] goftest_1.2-3            RSpectra_0.16-2          spatstat.random_3.3-2   
 [40] fitdistrplus_1.2-2       parallelly_1.45.0        colorRamp2_0.1.0        
 [43] codetools_0.2-20         DelayedArray_0.32.0      ggforce_0.5.0           
 [46] tidyselect_1.2.1         UCSC.utils_1.2.0         farver_2.1.2            
 [49] viridis_0.6.5            matrixStats_1.5.0        stats4_4.4.3            
 [52] spatstat.explore_3.3-4   jsonlite_2.0.0           BiocNeighbors_2.0.1     
 [55] tidygraph_1.3.1          progressr_0.15.1         ggridges_0.5.6          
 [58] survival_3.8-3           tools_4.4.3              ica_1.0-3               
 [61] Rcpp_1.0.14              glue_1.8.0               gridExtra_2.3           
 [64] SparseArray_1.6.2        MatrixGenerics_1.18.1    GenomeInfoDb_1.42.3     
 [67] withr_3.0.2              fastmap_1.2.0            bluster_1.16.0          
 [70] digest_0.6.37            timechange_0.3.0         R6_2.6.1                
 [73] mime_0.12                colorspace_2.1-1         scattermore_1.2         
 [76] gtools_3.9.5             tensor_1.5               dichromat_2.0-0.1       
 [79] spatstat.data_3.1-4      generics_0.1.4           data.table_1.17.6       
 [82] graphlayouts_1.2.2       httr_1.4.7               htmlwidgets_1.6.4       
 [85] S4Arrays_1.6.0           uwot_0.2.3               pkgconfig_2.0.3         
 [88] gtable_0.3.6             lmtest_0.9-40            GiottoVisuals_0.2.12    
 [91] XVector_0.46.0           htmltools_0.5.8.1        dotCall64_1.2           
 [94] scales_1.4.0             GiottoUtils_0.2.5        png_0.1-8               
 [97] spatstat.univar_3.1-1    tzdb_0.5.0               reshape2_1.4.4          
[100] checkmate_2.3.2          nlme_3.1-167             cachem_1.1.0            
[103] zoo_1.8-13               KernSmooth_2.23-26       parallel_4.4.3          
[106] miniUI_0.1.1.1           pillar_1.10.2            grid_4.4.3              
[109] vctrs_0.6.5              RANN_2.6.2               promises_1.3.2          
[112] xtable_1.8-4             cluster_2.1.8            cli_3.6.5               
[115] compiler_4.4.3           rlang_1.1.6              crayon_1.5.3            
[118] future.apply_1.20.0      labeling_0.4.3           plyr_1.8.9              
[121] stringi_1.8.7            viridisLite_0.4.2        deldir_2.0-4            
[124] BiocParallel_1.40.2      lazyeval_0.2.2           spatstat.geom_3.3-5     
[127] Matrix_1.7-2             RcppHNSW_0.6.0           hms_1.1.3               
[130] patchwork_1.3.1          sparseMatrixStats_1.18.0 future_1.58.0           
[133] shiny_1.10.0             ROCR_1.0-11              igraph_2.1.4            
[136] memoise_2.0.1           

Hope you can help soon. Thanks!