Closed shangguandong1996 closed 2 years ago
Makes sense to me. I used to just scramble the column order of the input SCE but I suppose that can be pretty expensive if you're not using DelayedArrays.
Thanks Aaron, For the scramble the column order of input SCE, you mean like below code?
example_sce <- mockSCE()
example_sce <- logNormCounts(example_sce)
example_sce <- runPCA(example_sce, ncomponents=5)
plotUMAP(example_sce[, order(logcounts(example_sce["Gene_0001", ]))],
colour_by = "Gene_0001")
Sounds good, thanks for raising the issue
Hi
I find it seems that the order_by
parameter not work
library(scater)
example_sce <- mockSCE()
example_sce <- logNormCounts(example_sce)
example_sce <- runPCA(example_sce)
example_sce <- runUMAP(example_sce)
plotUMAP(example_sce,
colour_by = "Gene_0001")
If I add order_by parameter, there is only some cells left
plotUMAP(example_sce,
colour_by = "Gene_0001",
order_by = "Gene_0001")
> sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Stream 8
Matrix products: default
BLAS: /opt/sysoft/R-4.2.0/lib64/R/lib/libRblas.so
LAPACK: /opt/sysoft/R-4.2.0/lib64/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] scater_1.25.6 ggplot2_3.3.6
[3] scuttle_1.6.2 SingleCellExperiment_1.18.0
[5] SummarizedExperiment_1.26.1 Biobase_2.56.0
[7] GenomicRanges_1.48.0 GenomeInfoDb_1.32.2
[9] IRanges_2.30.0 S4Vectors_0.34.0
[11] BiocGenerics_0.42.0 MatrixGenerics_1.8.0
[13] matrixStats_0.62.0
loaded via a namespace (and not attached):
[1] ggrepel_0.9.1 Rcpp_1.0.9 rsvd_1.0.5
[4] lattice_0.20-45 FNN_1.1.3.1 digest_0.6.29
[7] assertthat_0.2.1 utf8_1.2.2 RSpectra_0.16-1
[10] R6_2.5.1 pillar_1.7.0 sparseMatrixStats_1.8.0
[13] zlibbioc_1.42.0 rlang_1.0.3 rstudioapi_0.13
[16] irlba_2.3.5 Matrix_1.4-1 labeling_0.4.2
[19] BiocNeighbors_1.14.0 BiocParallel_1.30.2 RCurl_1.98-1.6
[22] munsell_0.5.0 uwot_0.1.11 beachmat_2.12.0
[25] DelayedArray_0.22.0 compiler_4.2.0 vipor_0.4.5
[28] BiocSingular_1.12.0 pkgconfig_2.0.3 ggbeeswarm_0.6.0
[31] tidyselect_1.1.2 tibble_3.1.7 gridExtra_2.3
[34] GenomeInfoDbData_1.2.8 fansi_1.0.3 viridisLite_0.4.0
[37] crayon_1.5.1 dplyr_1.0.9 withr_2.5.0
[40] bitops_1.0-7 grid_4.2.0 gtable_0.3.0
[43] lifecycle_1.0.1 DBI_1.1.2 magrittr_2.0.3
[46] scales_1.2.0 ScaledMatrix_1.4.0 cli_3.3.0
[49] farver_2.1.0 XVector_0.36.0 viridis_0.6.2
[52] DelayedMatrixStats_1.18.0 ellipsis_0.3.2 generics_0.1.2
[55] vctrs_0.4.1 cowplot_1.1.1 tools_4.2.0
[58] glue_1.6.2 beeswarm_0.4.0 purrr_0.3.4
[61] parallel_4.2.0 colorspace_2.0-3
Ah yeah my bad, left out an order
when refactoring some code
Thanks :), it work well now
Hi, Dear Developer. I am wondering whehter plotUMAP or plotReducedDim can offer can option which can plot point according to the expression value like order parameter in
FeaturePlot
of Seurat. Because sometimes, my gene express in only some cells in one clusters. And it will be buried by others cell.Best wishes
Guandong Shang