Closed bioguy2018 closed 4 years ago
features = "state"
. In your case, all features are type, hence "No features matched he specified marker class". Using plotPbExprs(sce, facet_by = "antigen", ncol = 4)
with features = "type"
or = NULL
(= plot all features) should resolve this.colData(sce)
? What do the sample_id
s look like (table(sce$sample_id)
)? If you could come up with a minimal example with the example data from the package that'd help!# this doesn't fail
data(PBMC_fs, PBMC_panel, PBMC_md)
sce <- prepData(PBMC_fs, PBMC_panel, PBMC_md)
sce <- cluster(sce, verbose = FALSE)
plotPbExprs(sce, features = "type",
facet_by = "antigen", color_by = "sample_id",
size_by = TRUE, geom = "points", jitter = FALSE, ncol = 5)
Dear Helena,
Thanks a lot for your reply!
I tried to set features= NULL or type but then I got the a different error but the same as I mentioned before:
Error in FUN(X[[i]], ...) : object 'condition' not found
the colData(sce) returns something like this
DataFrame with 18335 rows and 3 columns
sample_id condition cluster_id
<factor> <factor> <factor>
1 Ctrl-export_heart_embryo_001_v.fcs Ctrl 89 2 Ctrl-export_heart_embryo_001_v.fcs Ctrl 78 3 Ctrl-export_heart_embryo_001_v.fcs Ctrl 27 4 Ctrl-export_heart_embryo_001_v.fcs Ctrl 88 5 Ctrl-export_heart_embryo_001_v.fcs Ctrl 53 ... ... ... ... 18331 KO-export_heart_embryo_016_v.fcs KO 39 18332 KO-export_heart_embryo_016_v.fcs KO 38 18333 KO-export_heart_embryo_016_v.fcs KO 12 `
and the sample ids are like this:
Ctrl-export_heart_embryo_001_v.fcs Ctrl-export_heart_embryo_003_v.fcs Ctrl-export_heart_embryo_006_v.fcs 2607 2597 1994 Ctrl-export_heart_embryo_008_v.fcs Ctrl-export_heart_embryo_009_v.fcs Ctrl-export_heart_embryo_011_v.fcs 3000 1511 1622 KO-export_heart_embryo_007_v.fcs KO-export_heart_embryo_014_v.fcs KO-export_heart_embryo_016_v.fcs 3000 1498 506
I couldn't really reproduce the error with your data but I also can't understand what can be wrong with my data? I prepared in in the same manner and I have the necessary columns like condition and smaple id
Could you please post
sessionInfo()
head()
of the panel
and md
used to construct the SCE with prepData()
colnames(fs)
, fsApply(fs, identifier)
and keyword(fs, "FILENAME")
Dear Helena, Thanks a lot for the reply! here are the requested information
R version 4.0.2 (2020-06-22) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 18363) Matrix products: default locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 [4] LC_NUMERIC=C LC_TIME=English_United States.1252 attached base packages: [1] tools stats4 parallel stats graphics grDevices utils datasets methods base other attached packages: [1] ggplot2_3.3.2 readxl_1.3.1 RColorBrewer_1.1-2 CATALYST_1.12.2 [5] SingleCellExperiment_1.10.1 HDCytoData_1.8.0 flowCore_2.0.1 SummarizedExperiment_1.18.2 [9] DelayedArray_0.14.0 matrixStats_0.56.0 Biobase_2.48.0 GenomicRanges_1.40.0 [13] GenomeInfoDb_1.24.2 IRanges_2.22.2 S4Vectors_0.26.1 ExperimentHub_1.14.0 [17] AnnotationHub_2.20.0 BiocFileCache_1.12.0 dbplyr_1.4.4 BiocGenerics_0.34.0 loaded via a namespace (and not attached): [1] circlize_0.4.10 drc_3.0-1 plyr_1.8.6 [4] igraph_1.2.5 ConsensusClusterPlus_1.52.0 splines_4.0.2 [7] BiocParallel_1.22.0 scater_1.16.2 TH.data_1.0-10 [10] digest_0.6.25 htmltools_0.5.0 viridis_0.5.1 [13] magrittr_1.5 memoise_1.1.0 CytoML_2.0.5 [16] cluster_2.1.0 openxlsx_4.1.5 ComplexHeatmap_2.4.2 [19] RcppParallel_5.0.2 sandwich_2.5-1 flowWorkspace_4.0.6 [22] cytolib_2.0.3 jpeg_0.1-8.1 colorspace_1.4-1 [25] blob_1.2.1 rappdirs_0.3.1 ggrepel_0.8.2 [28] haven_2.3.1 xfun_0.15 dplyr_1.0.0 [31] crayon_1.3.4 RCurl_1.98-1.2 jsonlite_1.7.0 [34] hexbin_1.28.1 graph_1.66.0 survival_3.2-3 [37] zoo_1.8-8 glue_1.4.1 gtable_0.3.0 [40] nnls_1.4 zlibbioc_1.34.0 XVector_0.28.0 [43] GetoptLong_1.0.2 ggcyto_1.16.0 BiocSingular_1.4.0 [46] car_3.0-8 Rgraphviz_2.32.0 shape_1.4.4 [49] abind_1.4-5 scales_1.1.1 mvtnorm_1.1-1 [52] DBI_1.1.0 Rcpp_1.0.5 plotrix_3.7-8 [55] viridisLite_0.3.0 xtable_1.8-4 clue_0.3-57 [58] rsvd_1.0.3 foreign_0.8-80 bit_1.1-15.2 [61] FlowSOM_1.20.0 tsne_0.1-3 httr_1.4.2 [64] FNN_1.1.3 ellipsis_0.3.1 farver_2.0.3 [67] pkgconfig_2.0.3 XML_3.99-0.4 uwot_0.1.8 [70] labeling_0.3 tidyselect_1.1.0 rlang_0.4.6 [73] reshape2_1.4.4 later_1.1.0.1 AnnotationDbi_1.50.1 [76] munsell_0.5.0 BiocVersion_3.11.1 cellranger_1.1.0 [79] generics_0.0.2 RSQLite_2.2.0 ggridges_0.5.2 [82] stringr_1.4.0 fastmap_1.0.1 yaml_2.2.1 [85] knitr_1.29 bit64_0.9-7 zip_2.0.4 [88] purrr_0.3.4 RBGL_1.64.0 mime_0.9 [91] xml2_1.3.2 compiler_4.0.2 rstudioapi_0.11 [94] beeswarm_0.2.3 curl_4.3 png_0.1-7 [97] interactiveDisplayBase_1.26.3 tibble_3.0.2 stringi_1.4.6 [100] RSpectra_0.16-0 forcats_0.5.0 lattice_0.20-41 [103] Matrix_1.2-18 vctrs_0.3.1 pillar_1.4.6 [106] lifecycle_0.2.0 BiocManager_1.30.10 GlobalOptions_0.1.2 [109] RcppAnnoy_0.0.16 BiocNeighbors_1.6.0 irlba_2.3.3 [112] data.table_1.12.8 cowplot_1.0.0 bitops_1.0-6 [115] httpuv_1.5.4 R6_2.4.1 latticeExtra_0.6-29 [118] promises_1.1.1 gridExtra_2.3 RProtoBufLib_2.0.0 [121] rio_0.5.16 vipor_0.4.5 codetools_0.2-16 [124] MASS_7.3-51.6 gtools_3.8.2 assertthat_0.2.1 [127] rjson_0.2.20 withr_2.2.0 multcomp_1.4-13 [130] GenomeInfoDbData_1.2.3 hms_0.5.3 ncdfFlow_2.34.0 [133] grid_4.0.2 DelayedMatrixStats_1.10.1 carData_3.0-4 [136] Rtsne_0.15 shiny_1.5.0 base64enc_0.1-3 [139] ggbeeswarm_0.6.0
MD: file_name | sample_id | condition | subset |
---|---|---|---|
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_001_c.fcs | Ctrl-export_heart_embryo_001_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_003_c.fcs | Ctrl-export_heart_embryo_003_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_006_c.fcs | Ctrl-export_heart_embryo_006_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_008_c.fcs | Ctrl-export_heart_embryo_008_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_009_c.fcs | Ctrl-export_heart_embryo_009_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_011_c.fcs | Ctrl-export_heart_embryo_011_c.fcs | Ctrl | CD31 subset.fcs |
G:/UMAP/heart/cd31/KO-export_heart_embryo_007_c.fcs | KO-export_heart_embryo_007_c.fcs | KO | CD31 subset.fcs |
G:/UMAP/heart/cd31/KO-export_heart_embryo_014_c.fcs | KO-export_heart_embryo_014_c.fcs | KO | CD31 subset.fcs |
G:/UMAP/heart/cd31/KO-export_heart_embryo_016_c.fcs | KO-export_heart_embryo_016_c.fcs | KO | CD31 subset.fcs |
Panel:
marker_class | antigen | fcs_colname |
---|---|---|
type | DLL4 | FJComp.APC.A |
type | Notch1 | FJComp.BV421.A |
type | Creld1 | FJComp.PE.A |
type | SSC.A | SSC.A |
type | FSC.A | FSC.A |
> colnames(myfs) [1] "FSC.A" "SSC.A" "FJComp.APC.A" "FJComp.BV421.A" "FJComp.PE.A"
Ctrl-export_heart_embryo_001_c.fcs "Ctrl-export_heart_embryo_001_c.fcs" Ctrl-export_heart_embryo_003_c.fcs "Ctrl-export_heart_embryo_003_c.fcs" Ctrl-export_heart_embryo_006_c.fcs "Ctrl-export_heart_embryo_006_c.fcs" Ctrl-export_heart_embryo_008_c.fcs "Ctrl-export_heart_embryo_008_c.fcs" Ctrl-export_heart_embryo_009_c.fcs "Ctrl-export_heart_embryo_009_c.fcs" Ctrl-export_heart_embryo_011_c.fcs "Ctrl-export_heart_embryo_011_c.fcs" KO-export_heart_embryo_007_c.fcs "KO-export_heart_embryo_007_c.fcs" KO-export_heart_embryo_014_c.fcs "KO-export_heart_embryo_014_c.fcs" KO-export_heart_embryo_016_c.fcs "KO-export_heart_embryo_016_c.fcs"
FILENAME Ctrl-export_heart_embryo_001_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_001_c.fcs" Ctrl-export_heart_embryo_003_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_003_c.fcs" Ctrl-export_heart_embryo_006_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_006_c.fcs" Ctrl-export_heart_embryo_008_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_008_c.fcs" Ctrl-export_heart_embryo_009_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_009_c.fcs" Ctrl-export_heart_embryo_011_c.fcs "G:/UMAP/heart/cd31/Ctrl-export_heart_embryo_011_c.fcs" KO-export_heart_embryo_007_c.fcs "G:/UMAP/heart/cd31/KO-export_heart_embryo_007_c.fcs" KO-export_heart_embryo_014_c.fcs "G:/UMAP/heart/cd31/KO-export_heart_embryo_014_c.fcs" KO-export_heart_embryo_016_c.fcs "G:/UMAP/heart/cd31/KO-export_heart_embryo_016_c.fcs"
Dear Helena, I assume something must be wrong with annotation as with with some of my other data I could run this code! I will try to find it and later I will comment here! Maybe if you could realize it through the information I share I would be happy if you let me know but for now all good! Thanks a lot !
It sounds like this is related to #249 ? We have found a similar issue when there are is only one additional column to patient_id and cluster_id (i.e. condition in this case).
Dear developers, I have faced a problem while running the function plotPbExprs() on my dataset. I get the following error:
plotPbExprs(sce, facet_by = "antigen", ncol = 4)
I have checked my panel and my md files and everything looks fine there and I do have a col as antigen followed another col to specify type or state (in my case all are types) so I can't get why is it happening.
I also get the error message in the following modified version of the code:
> plotPbExprs(sce, features = "type", facet_by = "antigen", color_by = "condition", size_by = TRUE, geom = "points", jitter = FALSE, ncol = 5)
I am not sure why it is happening cause with color_by = "sample_id" the code works.