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I have the same issue when using "IntegrateData" and "merge" function, both using data after SCT in Seurat 5.1.0 By the way, "merge" function is good when using raw data. SessionInfo R version 4.3.1 (2023-06-16)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
Matrix products: default
BLAS: /public/software/apps/R-4.3.1/lib64/R/lib/libRblas.so
LAPACK: /public/software/apps/R-4.3.1/lib64/R/lib/libRlapack.so; LAPACK version 3.11.0
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] job_0.3.1 future.apply_1.11.2 future_1.33.2
[4] rmarkdown_2.26 cowplot_1.1.3 sctransform_0.4.1
[7] DoubletFinder_2.0.4 glmGamPoi_1.14.3 ggplot2_3.5.1
[10] patchwork_1.2.0 dplyr_1.1.4 Seurat_5.1.0
[13] SeuratObject_5.0.2 sp_2.1-4
loaded via a namespace (and not attached):
[1] RColorBrewer_1.1-3 rstudioapi_0.16.0
[3] jsonlite_1.8.8 magrittr_2.0.3
[5] spatstat.utils_3.0-4 zlibbioc_1.48.2
[7] vctrs_0.6.5 ROCR_1.0-11
[9] spatstat.explore_3.2-7 RCurl_1.98-1.14
[11] S4Arrays_1.2.1 htmltools_0.5.8.1
[13] SparseArray_1.2.4 parallelly_1.37.1
[15] KernSmooth_2.23-22 htmlwidgets_1.6.4
[17] ica_1.0-3 plyr_1.8.9
[19] plotly_4.10.4 zoo_1.8-12
[21] igraph_2.0.3 mime_0.12
[23] lifecycle_1.0.4 pkgconfig_2.0.3
[25] Matrix_1.6-4 R6_2.5.1
[27] fastmap_1.1.1 GenomeInfoDbData_1.2.11
[29] MatrixGenerics_1.14.0 fitdistrplus_1.1-11
[31] shiny_1.8.1.1 digest_0.6.35
[33] colorspace_2.1-0 S4Vectors_0.40.2
[35] tensor_1.5 RSpectra_0.16-1
[37] irlba_2.3.5.1 GenomicRanges_1.54.1
[39] progressr_0.14.0 fansi_1.0.6
[41] spatstat.sparse_3.0-3 httr_1.4.7
[43] polyclip_1.10-6 abind_1.4-5
[45] compiler_4.3.1 withr_3.0.0
[47] fastDummies_1.7.3 MASS_7.3-60
[49] DelayedArray_0.28.0 tools_4.3.1
[51] lmtest_0.9-40 httpuv_1.6.15
[53] goftest_1.2-3 glue_1.7.0
[55] nlme_3.1-164 promises_1.3.0
[57] grid_4.3.1 Rtsne_0.17
[59] cluster_2.1.6 reshape2_1.4.4
[61] generics_0.1.3 gtable_0.3.5
[63] spatstat.data_3.0-4 tidyr_1.3.1
[65] data.table_1.15.4 utf8_1.2.4
[67] XVector_0.42.0 BiocGenerics_0.48.1
[69] spatstat.geom_3.2-9 RcppAnnoy_0.0.22
[71] ggrepel_0.9.5 RANN_2.6.1
[73] pillar_1.9.0 stringr_1.5.1
[75] spam_2.10-0 RcppHNSW_0.6.0
[77] later_1.3.2 splines_4.3.1
[79] lattice_0.22-6 survival_3.6-4
[81] deldir_2.0-4 tidyselect_1.2.1
[83] miniUI_0.1.1.1 pbapply_1.7-2
[85] knitr_1.46 gridExtra_2.3
[87] IRanges_2.36.0 SummarizedExperiment_1.32.0
[89] scattermore_1.2 stats4_4.3.1
[91] xfun_0.43 Biobase_2.62.0
[93] matrixStats_1.3.0 stringi_1.8.4
[95] yaml_2.3.8 pacman_0.5.1
[97] lazyeval_0.2.2 evaluate_0.23
[99] codetools_0.2-20 tibble_3.2.1
[101] BiocManager_1.30.22 cli_3.6.2
[103] uwot_0.2.2 xtable_1.8-4
[105] reticulate_1.36.1 munsell_0.5.1
[107] Rcpp_1.0.12 GenomeInfoDb_1.38.8
[109] globals_0.16.3 spatstat.random_3.2-3
[111] png_0.1-8 parallel_4.3.1
[113] dotCall64_1.1-1 bitops_1.0-7
[115] listenv_0.9.1 viridisLite_0.4.2
[117] scales_1.3.0 ggridges_0.5.6
[119] crayon_1.5.2 leiden_0.4.3.1
[121] purrr_1.0.2 rlang_1.1.3 |
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When I run the function IntegrateData() in Seurat 5.03, I got the following error:
Error in
.rowNamesDF<-
(x, value = value) : invalid 'row.names' lengthAnd the code is:
scRNAepithelial.anchors <- FindIntegrationAnchors(object.list = scRNAepithelial.list,
anchor.features = features)
scRNAepithelial.combined <- IntegrateData(anchorset = scRNAepithelial.anchors)
This is the old code, and I had run it with no error before.
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