Closed danielgchen closed 4 years ago
Hi,
I was working through the tutorial for monocle and received the error below
|=====================================================| 100%, Elapsed 00:00 |=====================================================| 100%, Elapsed 00:01 Error in .f(.x[[i]], ...) : object 'rowname' not found
when running
marker_test_res <- top_markers(cds, group_cells_by="partition", reference_cells=500, cores=8)
Since I only have 419 cells I thought maybe that was the issue so I dropped reference_cells down to 200 but I recieved the same error as above. Please let me know what can be done to fix this. Thanks! Below is information about my cds object:
class: cell_data_set dim: 1690 419 metadata(2): cds_version citations assays(1): counts rownames(1690): HES4 ISG15 ... MT.CYB AC145212.1 rowData names(0): colnames(419): AAACGGGAGGAGCGAG AAAGCAATCCAACCAA ... TTTCCTCCATCCGCGA TTTGTCATCTTCGGTC colData names(2): clusters Size_Factor reducedDimNames(3): PCA tSNE UMAP spikeNames(0):
Below is my R session information:
R version 3.6.0 (2019-04-26) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 18.04.2 LTS Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1 LAPACK: /home/dchen/anaconda3/lib/libmkl_rt.so locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] grid parallel stats4 stats graphics grDevices utils datasets [9] methods base other attached packages: [1] monocle3_0.2.0 SingleCellExperiment_1.6.0 [3] umap_0.2.4.0 lda_1.4.2 [5] circlize_0.4.8 ComplexHeatmap_2.0.0 [7] MultiAssayExperiment_1.10.4 BuenColors_0.5.5 [9] MASS_7.3-51.3 devtools_2.2.1 [11] usethis_1.5.1 irlba_2.3.3 [13] plotly_4.9.1 BSgenome.Hsapiens.UCSC.hg19_1.4.0 [15] BSgenome_1.52.0 rtracklayer_1.44.4 [17] Biostrings_2.52.0 XVector_0.24.0 [19] SummarizedExperiment_1.14.1 DelayedArray_0.10.0 [21] BiocParallel_1.18.1 matrixStats_0.55.0 [23] Biobase_2.44.0 GenomicRanges_1.36.1 [25] GenomeInfoDb_1.20.0 IRanges_2.18.3 [27] S4Vectors_0.22.1 BiocGenerics_0.30.0 [29] motifmatchr_1.6.0 chromVAR_1.6.0 [31] TFBSTools_1.22.0 JASPAR2018_1.1.1 [33] forcats_0.4.0 stringr_1.4.0 [35] dplyr_0.8.3 purrr_0.3.3 [37] readr_1.3.1 tidyr_1.0.0 [39] tibble_2.1.3 tidyverse_1.3.0 [41] ggplot2_3.2.1 SnapATAC_1.0.0 [43] rhdf5_2.28.1 Matrix_1.2-17 loaded via a namespace (and not attached): [1] reticulate_1.14 R.utils_2.9.2 tidyselect_0.2.5 [4] poweRlaw_0.70.2 RSQLite_2.1.5 AnnotationDbi_1.46.1 [7] htmlwidgets_1.5.1 Rtsne_0.15 munsell_0.5.0 [10] codetools_0.2-16 DT_0.11 miniUI_0.1.1.1 [13] misc3d_0.8-4 withr_2.1.2 colorspace_1.4-1 [16] rstudioapi_0.10 pbmcapply_1.5.0 labeling_0.3 [19] GenomeInfoDbData_1.2.1 farver_2.0.1 bit64_0.9-7 [22] rprojroot_1.3-2 Matrix.utils_0.9.7 vctrs_0.2.1 [25] generics_0.0.2 R6_2.4.1 doParallel_1.0.15 [28] clue_0.3-57 VGAM_1.1-2 locfit_1.5-9.1 [31] bitops_1.0-6 assertthat_0.2.1 promises_1.1.0 [34] scales_1.1.0 gtable_0.3.0 processx_3.4.1 [37] seqLogo_1.50.0 rlang_0.4.2 zeallot_0.1.0 [40] GlobalOptions_0.1.1 splines_3.6.0 lazyeval_0.2.2 [43] broom_0.5.3 yaml_2.2.0 reshape2_1.4.3 [46] modelr_0.1.5 crosstalk_1.0.0 backports_1.1.5 [49] httpuv_1.5.2 tools_3.6.0 ellipsis_0.3.0 [52] RColorBrewer_1.1-2 sessioninfo_1.1.1 Rcpp_1.0.3 [55] plyr_1.8.5 zlibbioc_1.30.0 RCurl_1.95-4.12 [58] ps_1.3.0 prettyunits_1.0.2 openssl_1.4.1 [61] GetoptLong_0.1.7 viridis_0.5.1 grr_0.9.5 [64] ggrepel_0.8.1 haven_2.2.0 cluster_2.0.9 [67] fs_1.3.1 magrittr_1.5 RSpectra_0.16-0 [70] data.table_1.12.8 reprex_0.3.0 RANN_2.6.1 [73] pkgload_1.0.2 hms_0.5.2 mime_0.8 [76] xtable_1.8-4 RhpcBLASctl_0.18-205 XML_3.98-1.20 [79] readxl_1.3.1 gridExtra_2.3 shape_1.4.4 [82] testthat_2.3.1 compiler_3.6.0 crayon_1.3.4 [85] R.oo_1.23.0 htmltools_0.4.0 later_1.0.0 [88] snow_0.4-3 RcppParallel_4.4.4 lubridate_1.7.4 [91] DBI_1.1.0 dbplyr_1.4.2 rappdirs_0.3.1 [94] leidenbase_0.1.0 cli_2.0.0 R.methodsS3_1.7.1 [97] igraph_1.2.4.2 pkgconfig_2.0.3 bigmemory.sri_0.1.3 [100] GenomicAlignments_1.20.1 TFMPvalue_0.0.8 xml2_1.2.2 [103] foreach_1.4.7 annotate_1.62.0 DirichletMultinomial_1.26.0 [106] rvest_0.3.5 callr_3.4.0 digest_0.6.23 [109] RcppAnnoy_0.0.14 CNEr_1.20.0 cellranger_1.1.0 [112] uwot_0.1.5 edgeR_3.26.8 DelayedMatrixStats_1.6.1 [115] shiny_1.4.0 Rsamtools_2.0.3 gtools_3.8.1 [118] rjson_0.2.20 lifecycle_0.1.0 nlme_3.1-140 [121] jsonlite_1.6 Rhdf5lib_1.6.3 askpass_1.1 [124] bigmemory_4.5.36 desc_1.2.0 viridisLite_0.3.0 [127] limma_3.40.6 fansi_0.4.0 pillar_1.4.3 [130] lattice_0.20-38 KEGGREST_1.24.1 fastmap_1.0.1 [133] httr_1.4.1 pkgbuild_1.0.6 GO.db_3.8.2 [136] glue_1.3.1 remotes_2.1.0 png_0.1-7 [139] iterators_1.0.12 plot3D_1.3 bit_1.1-14 [142] stringi_1.4.3 blob_1.2.0 doSNOW_1.0.18 [145] caTools_1.17.1.3 memoise_1.1.0
Found that I need to set gene short name column to do this
Hi,
I was working through the tutorial for monocle and received the error below
when running
Since I only have 419 cells I thought maybe that was the issue so I dropped reference_cells down to 200 but I recieved the same error as above. Please let me know what can be done to fix this. Thanks! Below is information about my cds object:
Below is my R session information: