Label's position is off in VolcanoPlot

[goepp]

First, thank you for developping SCP!

Bug description

The text annotation of the most differentially expressed genes on the VolcanoPlots is sometimes off.

Example from the help of VolcanoPlot:

data("pancreas_sub")
pancreas_sub <- RunDEtest(pancreas_sub, group_by = "CellType", only.pos = FALSE)
VolcanoPlot(pancreas_sub, group_by = "CellType")

On the first facet, the text label of "Map1b" and "Aplp1" is off.

Version of SCP

Tested on SCP 0.5.6.

sessionInfo()

R version 4.4.1 (2024-06-14)
Platform: aarch64-apple-darwin20
Running under: macOS 15.2

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: Europe/Berlin
tzcode source: internal

attached base packages:
[1] stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] knitr_1.49                  data.table_1.16.4           RColorBrewer_1.1-3          DESeq2_1.44.0               png_0.1-8                   pheatmap_1.0.12            
 [7] SingleCellExperiment_1.26.0 SummarizedExperiment_1.34.0 Biobase_2.64.0              GenomicRanges_1.56.2        GenomeInfoDb_1.40.1         IRanges_2.38.1             
[13] MatrixGenerics_1.16.0       matrixStats_1.5.0           S4Vectors_0.42.1            BiocGenerics_0.50.0         reshape2_1.4.4              edgeR_4.2.2                
[19] limma_3.60.6                Matrix.utils_0.9.7          Matrix_1.7-1                cowplot_1.1.3               patchwork_1.3.0             lubridate_1.9.4            
[25] forcats_1.0.0               dplyr_1.1.4                 purrr_1.0.2                 readr_2.1.5                 tidyr_1.3.1                 tibble_3.2.1               
[31] tidyverse_2.0.0             BiocParallel_1.38.0         stringr_1.5.1               Seurat_5.2.0                SeuratObject_5.0.2          sp_2.1-4                   
[37] ggplot2_3.5.1               SCP_0.5.6                  

loaded via a namespace (and not attached):
  [1] fs_1.6.5                spatstat.sparse_3.1-0   bitops_1.0-9            enrichplot_1.24.4       httr_1.4.7              doParallel_1.0.17       tools_4.4.1            
  [8] sctransform_0.4.1       R6_2.5.1                HDF5Array_1.32.1        lazyeval_0.2.2          uwot_0.2.2              rhdf5filters_1.16.0     GetoptLong_1.0.5       
 [15] withr_3.0.2             prettyunits_1.2.0       gridExtra_2.3           progressr_0.15.1        textshaping_0.4.1       cli_3.6.3               spatstat.explore_3.3-4 
 [22] fastDummies_1.7.4       scatterpie_0.2.4        labeling_0.4.3          spatstat.data_3.1-4     ggridges_0.5.6          pbapply_1.7-2           slingshot_2.12.0       
 [29] systemfonts_1.2.0       Rsamtools_2.20.0        yulab.utils_0.1.9       gson_0.1.0              DOSE_3.30.5             R.utils_2.12.3          parallelly_1.41.0      
 [36] rstudioapi_0.17.1       RSQLite_2.3.9           generics_0.1.3          gridGraphics_0.5-1      shape_1.4.6.1           ica_1.0-3               spatstat.random_3.3-2  
 [43] GO.db_3.19.1            abind_1.4-8             R.methodsS3_1.8.2       lifecycle_1.0.4         rhdf5_2.48.0            qvalue_2.36.0           SparseArray_1.4.8      
 [50] BiocFileCache_2.12.0    Rtsne_0.17              grid_4.4.1              blob_1.2.4              promises_1.3.2          crayon_1.5.3            miniUI_0.1.1.1         
 [57] lattice_0.22-6          KEGGREST_1.44.1         pillar_1.10.1           ComplexHeatmap_2.20.0   fgsea_1.30.0            rjson_0.2.23            future.apply_1.11.3    
 [64] codetools_0.2-20        fastmatch_1.1-6         glue_1.8.0              ggfun_0.1.8             spatstat.univar_3.1-1   vctrs_0.6.5             treeio_1.28.0          
 [71] spam_2.11-0             gtable_0.3.6            cachem_1.1.0            xfun_0.50               princurve_2.1.6         Signac_1.14.0           S4Arrays_1.4.1         
 [78] mime_0.12               tidygraph_1.3.1         survival_3.8-3          RcppRoll_0.3.1          iterators_1.0.14        statmod_1.5.0           fitdistrplus_1.2-2     
 [85] ROCR_1.0-11             nlme_3.1-166            ggtree_3.12.0           bit64_4.6.0-1           progress_1.2.3          filelock_1.0.3          RcppAnnoy_0.0.22       
 [92] R.cache_0.16.0          irlba_2.3.5.1           KernSmooth_2.23-26      colorspace_2.1-1        DBI_1.2.3               tidyselect_1.2.1        proxyC_0.4.1           
 [99] bit_4.5.0.1             compiler_4.4.1          curl_6.1.0              httr2_1.0.7             xml2_1.3.6              DelayedArray_0.30.1     plotly_4.10.4          
[106] shadowtext_0.1.4        scales_1.3.0            lmtest_0.9-40           rappdirs_0.3.3          digest_0.6.37           goftest_1.2-3           spatstat.utils_3.1-2   
[113] XVector_0.44.0          htmltools_0.5.8.1       pkgconfig_2.0.3         dbplyr_2.5.0            fastmap_1.2.0           rlang_1.1.4             GlobalOptions_0.1.2    
[120] htmlwidgets_1.6.4       UCSC.utils_1.0.0        shiny_1.10.0            farver_2.1.2            zoo_1.8-12              jsonlite_1.8.9          GOSemSim_2.30.2        
[127] R.oo_1.27.0             magrittr_2.0.3          GenomeInfoDbData_1.2.12 ggplotify_0.1.2         dotCall64_1.2           Rhdf5lib_1.26.0         munsell_0.5.1          
[134] Rcpp_1.0.14             TrajectoryUtils_1.12.0  ape_5.8-1               ggnewscale_0.5.0        viridis_0.6.5           reticulate_1.40.0       stringi_1.8.4          
[141] ggraph_2.2.1            zlibbioc_1.50.0         MASS_7.3-64             plyr_1.8.9              parallel_4.4.1          listenv_0.9.1           ggrepel_0.9.6          
[148] deldir_2.0-4            Biostrings_2.72.1       graphlayouts_1.2.1      splines_4.4.1           tensor_1.5              hms_1.1.3               circlize_0.4.16        
[155] locfit_1.5-9.10         igraph_2.1.2            spatstat.geom_3.3-4     RcppHNSW_0.6.0          biomaRt_2.60.1          evaluate_1.0.3          tzdb_0.4.0             
[162] foreach_1.5.2           tweenr_2.0.3            httpuv_1.6.15           grr_0.9.5               RANN_2.6.2              polyclip_1.10-7         future_1.34.0          
[169] clue_0.3-66             scattermore_1.2         ggforce_0.4.2           xtable_1.8-4            RSpectra_0.16-2         tidytree_0.4.6          later_1.4.1            
[176] ragg_1.3.3              viridisLite_0.4.2       clusterProfiler_4.12.6  aplot_0.2.4             memoise_2.0.1           AnnotationDbi_1.66.0    cluster_2.1.8          
[183] timechange_0.3.0        globals_0.16.3