Closed yls2g13 closed 2 hours ago
Hi there, I'm also facing an issue faced by quite a few people (https://github.com/satijalab/seurat/issues/8897), but with R/4.4.1. My Seurat package versions are:
R/4.4.1
Seurat_5.1.0 SeuratObject_5.0.2 SeuratWrappers_0.4.0
Code used:
merged <- IntegrateLayers(object = merged.seu.obj, method = scVIIntegration, new.reduction ="umap.scvi", conda_env = "/home/miniconda3/envs/scvi-env/", verbose = TRUE)
Error message:
Error when running scVIIntegration: Error in object[][features, ] : incorrect number of dimensions
sessionInfo() output:
sessionInfo()
R version 4.4.1 (2024-06-14) Platform: x86_64-pc-linux-gnu Running under: Red Hat Enterprise Linux 9.4 (Plow) Matrix products: default BLAS/LAPACK: FlexiBLAS OPENBLAS-OPENMP; LAPACK version 3.9.0 locale: [1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8 LC_MONETARY=en_AU.UTF-8 [6] LC_MESSAGES=en_AU.UTF-8 LC_PAPER=en_AU.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C time zone: Australia/Melbourne tzcode source: system (glibc) attached base packages: [1] stats4 stats graphics grDevices utils datasets methods base other attached packages: [1] scGate_1.6.2 here_1.0.1 SeuratWrappers_0.4.0 pbmcsca.SeuratData_3.0.0 SeuratData_0.2.2.9001 [6] Azimuth_0.5.0 shinyBS_0.61.1 scDblFinder_1.18.0 scater_1.32.1 scuttle_1.14.0 [11] cowplot_1.1.3 patchwork_1.3.0 decontX_1.2.0 celda_1.20.0 Matrix_1.7-0 [16] lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2 [21] readr_2.1.5 tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1 tidyverse_2.0.0 [26] SingleCellExperiment_1.26.0 SummarizedExperiment_1.34.0 Biobase_2.64.0 GenomicRanges_1.56.1 GenomeInfoDb_1.40.1 [31] IRanges_2.38.1 S4Vectors_0.42.1 BiocGenerics_0.50.0 MatrixGenerics_1.16.0 matrixStats_1.4.1 [36] Seurat_5.1.0 SeuratObject_5.0.2 sp_2.1-4 loaded via a namespace (and not attached): [1] igraph_2.1.1 ica_1.0-3 plotly_4.10.4 Formula_1.2-5 [5] zlibbioc_1.50.0 tidyselect_1.2.1 bit_4.5.0 doParallel_1.0.17 [9] lattice_0.22-6 rjson_0.2.23 blob_1.2.4 S4Arrays_1.4.1 [13] parallel_4.4.1 seqLogo_1.68.0 png_0.1-8 cli_3.6.3 [17] ProtGenerics_1.34.0 goftest_1.2-3 gargle_1.5.2 textshaping_0.4.0 [21] BiocIO_1.12.0 bluster_1.14.0 BiocNeighbors_1.22.0 Signac_1.14.0 [25] uwot_0.2.2 curl_6.0.1 mime_0.12 evaluate_1.0.1 [29] leiden_0.4.3.1 V8_6.0.0 stringi_1.8.4 backports_1.5.0 [33] XML_3.99-0.17 httpuv_1.6.15 AnnotationDbi_1.64.1 magrittr_2.0.3 [37] rappdirs_0.3.3 splines_4.4.1 RcppRoll_0.3.1 DT_0.33 [41] sctransform_0.4.1 ggbeeswarm_0.7.2 DBI_1.2.3 withr_3.0.2 [45] systemfonts_1.1.0 rprojroot_2.0.4 xgboost_1.7.8.1 lmtest_0.9-40 [49] rtracklayer_1.62.0 BiocManager_1.30.25 htmlwidgets_1.6.4 fs_1.6.5 [53] biomaRt_2.58.2 ggrepel_0.9.6 labeling_0.4.3 SparseArray_1.4.8 [57] cellranger_1.1.0 annotate_1.80.0 reticulate_1.40.0 zoo_1.8-12 [61] JASPAR2020_0.99.10 XVector_0.44.0 knitr_1.49 TFBSTools_1.42.0 [65] UCSC.utils_1.0.0 TFMPvalue_0.0.9 timechange_0.3.0 foreach_1.5.2 [69] fansi_1.0.6 dittoSeq_1.16.0 caTools_1.18.3 grid_4.4.1 [73] data.table_1.16.2 rhdf5_2.48.0 pwalign_1.0.0 R.oo_1.27.0 [77] poweRlaw_0.80.0 RSpectra_0.16-2 irlba_2.3.5.1 fastDummies_1.7.4 [81] lazyeval_0.2.2 yaml_2.3.10 survival_3.6-4 scattermore_1.2 [85] crayon_1.5.3 RcppAnnoy_0.0.22 RColorBrewer_1.1-3 progressr_0.15.0 [89] later_1.3.2 ggridges_0.5.6 codetools_0.2-20 KEGGREST_1.42.0 [93] Rtsne_0.17 limma_3.60.6 Rsamtools_2.18.0 filelock_1.0.3 [97] pkgconfig_2.0.3 xml2_1.3.6 spatstat.univar_3.1-1 ggpubr_0.6.0 [101] GenomicAlignments_1.38.2 spatstat.sparse_3.1-0 BSgenome_1.70.2 viridisLite_0.4.2 [105] xtable_1.8-4 car_3.1-3 plyr_1.8.9 httr_1.4.7 [109] tools_4.4.1 globals_0.16.3 pkgbuild_1.4.5 beeswarm_0.4.0 [113] broom_1.0.7 nlme_3.1-164 loo_2.8.0 dbplyr_2.5.0 [117] hdf5r_1.3.11 shinyjs_2.1.0 digest_0.6.37 farver_2.1.2 [121] tzdb_0.4.0 AnnotationFilter_1.26.0 reshape2_1.4.4 WriteXLS_6.7.0 [125] viridis_0.6.5 DirichletMultinomial_1.44.0 glue_1.8.0 cachem_1.1.0 [129] BiocFileCache_2.10.2 polyclip_1.10-7 generics_0.1.3 Biostrings_2.72.1 [133] googledrive_2.1.1 presto_1.0.0 parallelly_1.39.0 statmod_1.5.0 [137] RcppHNSW_0.6.0 ragg_1.3.3 ScaledMatrix_1.12.0 carData_3.0-5 [141] pbapply_1.7-2 spam_2.11-0 dqrng_0.4.1 utf8_1.2.4 [145] StanHeaders_2.32.10 gtools_3.9.5 ggsignif_0.6.4 RcppEigen_0.3.4.0.2 [149] gridExtra_2.3 shiny_1.9.1 GenomeInfoDbData_1.2.12 R.utils_2.12.3 [153] rhdf5filters_1.16.0 RCurl_1.98-1.16 memoise_2.0.1 rmarkdown_2.29 [157] pheatmap_1.0.12 scales_1.3.0 R.methodsS3_1.8.2 googlesheets4_1.1.1 [161] future_1.34.0 RANN_2.6.2 spatstat.data_3.1-4 rstudioapi_0.17.1 [165] cluster_2.1.6 QuickJSR_1.4.0 rstantools_2.4.0 spatstat.utils_3.1-1 [169] hms_1.1.3 fitdistrplus_1.2-1 munsell_0.5.1 colorspace_2.1-1 [173] rlang_1.1.4 DelayedMatrixStats_1.24.0 sparseMatrixStats_1.14.0 dotCall64_1.2 [177] shinydashboard_0.7.2 xfun_0.49 CNEr_1.38.0 remotes_2.5.0 [181] iterators_1.0.14 abind_1.4-8 MCMCprecision_0.4.0 EnsDb.Hsapiens.v86_2.99.0 [185] rstan_2.32.6 Rhdf5lib_1.26.0 bitops_1.0-9 promises_1.3.0 [189] inline_0.3.20 RSQLite_2.3.8 fgsea_1.30.0 DelayedArray_0.30.1 [193] GO.db_3.18.0 compiler_4.4.1 prettyunits_1.2.0 beachmat_2.20.0 [197] listenv_0.9.1 BSgenome.Hsapiens.UCSC.hg38_1.4.5 Rcpp_1.0.13-1 enrichR_3.2 [201] edgeR_4.2.2 BiocSingular_1.20.0 tensor_1.5 MASS_7.3-60.2 [205] progress_1.2.3 BiocParallel_1.38.0 UCell_2.8.0 spatstat.random_3.3-2 [209] R6_2.5.1 fastmap_1.2.0 fastmatch_1.1-4 rstatix_0.7.2 [213] vipor_0.4.7 ensembldb_2.26.0 ROCR_1.0-11 SeuratDisk_0.0.0.9021 [217] rsvd_1.0.5 gtable_0.3.6 KernSmooth_2.23-24 miniUI_0.1.1.1 [221] deldir_2.0-4 htmltools_0.5.8.1 RcppParallel_5.1.9 bit64_4.5.2 [225] spatstat.explore_3.3-3 lifecycle_1.0.4 restfulr_0.0.15 vctrs_0.6.5 [229] spatstat.geom_3.3-4 scran_1.32.0 future.apply_1.11.3 pracma_2.4.4 [233] pillar_1.9.0 GenomicFeatures_1.54.4 metapod_1.12.0 locfit_1.5-9.10 [237] combinat_0.0-8 jsonlite_1.8.9
Closing as it seems the error has resolved itself!
Hi there, I'm also facing an issue faced by quite a few people (https://github.com/satijalab/seurat/issues/8897), but with
R/4.4.1
. My Seurat package versions are:Code used:
Error message:
sessionInfo()
output: