大家如果遇到报错，请先检查一下各包的版本是否与我一致：sessionInfo R version 4.3.2 (2023-10-31 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19045) Matrix products: default locale: [1] LC_COLLATE=Chinese (Simplified)_China.utf8 LC_CTYPE=Chinese (Simplified)_China.utf8 [3] LC_MONETARY=Chinese (Simplified)_China.utf8 LC_NUMERIC=C [5] LC_TIME=Chinese (Simplified)_China.utf8 time zone: Asia/Shanghai tzcode source: internal attached base packages: [1] parallel stats4 stats graphics grDevices utils datasets methods base other attached packages: [1] paletteer_1.6.0 clustree_0.5.1 ggraph_2.2.1 [4] openxlsx_4.2.7.1 hdf5r_1.3.11 scater_1.30.1 [7] scran_1.30.2 scuttle_1.12.0 patchwork_1.3.0 [10] ggpubr_0.6.0 ggsci_3.2.0 future_1.34.0 [13] Matrix_1.6-5 tradeSeq_1.16.0 slingshot_2.10.0 [16] TrajectoryUtils_1.10.1 princurve_2.1.6 RColorBrewer_1.1-3 [19] lubridate_1.9.4 forcats_1.0.0 stringr_1.5.1 [22] dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 [25] tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1 [28] tidyverse_2.0.0 SingleCellExperiment_1.24.0 SummarizedExperiment_1.32.0 [31] Biobase_2.62.0 GenomicRanges_1.54.1 GenomeInfoDb_1.38.8 [34] IRanges_2.36.0 S4Vectors_0.40.2 BiocGenerics_0.48.1 [37] MatrixGenerics_1.14.0 matrixStats_1.4.1 Seurat_5.1.0 [40] SeuratObject_5.0.2 sp_2.1-4 loaded via a namespace (and not attached): [1] spatstat.sparse_3.1-0 bitops_1.0-9 httr_1.4.7 [4] tools_4.3.2 sctransform_0.4.1 backports_1.5.0 [7] R6_2.5.1 lazyeval_0.2.2 uwot_0.2.2 [10] mgcv_1.9-0 withr_3.0.2 gridExtra_2.3 [13] progressr_0.15.1 cli_3.6.3 textshaping_0.4.1 [16] spatstat.explore_3.3-3 fastDummies_1.7.4 labeling_0.4.3 [19] spatstat.data_3.1-4 ggridges_0.5.6 pbapply_1.7-2 [22] systemfonts_1.1.0 parallelly_1.40.1 limma_3.58.1 [25] rstudioapi_0.17.1 generics_0.1.3 ica_1.0-3 [28] spatstat.random_3.3-2 car_3.1-3 zip_2.3.1 [31] ggbeeswarm_0.7.2 abind_1.4-8 lifecycle_1.0.4 [34] yaml_2.3.10 edgeR_4.0.16 carData_3.0-5 [37] SparseArray_1.2.4 Rtsne_0.17 grid_4.3.2 [40] promises_1.3.2 dqrng_0.4.1 crayon_1.5.3 [43] miniUI_0.1.1.1 lattice_0.21-9 beachmat_2.18.1 [46] cowplot_1.1.3 pillar_1.10.0 knitr_1.49 [49] metapod_1.10.1 future.apply_1.11.3 codetools_0.2-19 [52] leiden_0.4.3.1 glue_1.8.0 spatstat.univar_3.1-1 [55] data.table_1.16.4 vctrs_0.6.5 png_0.1-8 [58] spam_2.11-0 gtable_0.3.6 rematch2_2.1.2 [61] cachem_1.1.0 xfun_0.49 S4Arrays_1.2.1 [64] mime_0.12 tidygraph_1.3.1 survival_3.5-7 [67] statmod_1.5.0 bluster_1.12.0 fitdistrplus_1.2-1 [70] ROCR_1.0-11 nlme_3.1-163 bit64_4.5.2 [73] RcppAnnoy_0.0.22 irlba_2.3.5.1 vipor_0.4.7 [76] KernSmooth_2.23-22 colorspace_2.1-1 tidyselect_1.2.1 [79] bit_4.5.0.1 compiler_4.3.2 BiocNeighbors_1.20.2 [82] DelayedArray_0.28.0 plotly_4.10.4 scales_1.3.0 [85] lmtest_0.9-40 digest_0.6.37 goftest_1.2-3 [88] spatstat.utils_3.1-1 rmarkdown_2.29 XVector_0.42.0 [91] htmltools_0.5.8.1 pkgconfig_2.0.3 sparseMatrixStats_1.14.0 [94] fastmap_1.2.0 rlang_1.1.4 htmlwidgets_1.6.4 [97] shiny_1.10.0 DelayedMatrixStats_1.24.0 farver_2.1.2 [100] zoo_1.8-12 jsonlite_1.8.9 BiocParallel_1.36.0 [103] BiocSingular_1.18.0 RCurl_1.98-1.16 magrittr_2.0.3 [106] Formula_1.2-5 GenomeInfoDbData_1.2.11 dotCall64_1.2 [109] munsell_0.5.1 Rcpp_1.0.13-1 viridis_0.6.5 [112] reticulate_1.40.0 stringi_1.8.4 zlibbioc_1.48.2 [115] MASS_7.3-60 plyr_1.8.9 listenv_0.9.1 [118] ggrepel_0.9.6 deldir_2.0-4 graphlayouts_1.2.1 [121] splines_4.3.2 tensor_1.5 hms_1.1.3 [124] locfit_1.5-9.10 igraph_2.1.2 spatstat.geom_3.3-4 [127] ggsignif_0.6.4 RcppHNSW_0.6.0 reshape2_1.4.4 [130] ScaledMatrix_1.10.0 evaluate_1.0.1 BiocManager_1.30.25 [133] tzdb_0.4.0 tweenr_2.0.3 httpuv_1.6.15 [136] RANN_2.6.2 polyclip_1.10-7 scattermore_1.2 [139] ggforce_0.4.2 rsvd_1.0.5 broom_1.0.7 [142] xtable_1.8-4 RSpectra_0.16-2 rstatix_0.7.2 [145] later_1.4.1 viridisLite_0.4.2 ragg_1.3.3 [148] memoise_2.0.1 beeswarm_0.4.0 cluster_2.1.4 [151] timechange_0.3.0 globals_0.16.3