## convert seurate to SE and save
library(Seurat)
sce_converted <- as.SingleCellExperiment(seo)
saveRDS(sce_converted, file = "~/Desktop/human_zhong_seo_clustering.rds")

## start iSEE brower window
iSEE()
# Fails to upload object

se <- readRDS("~/Desktop/human_zhong_seo_clustering.rds")
library("iSEE")
iSEE(se) ## works

R version 4.0.2 (2020-06-22)
Platform: x86_64-conda_cos6-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS/LAPACK: /home/domingue/miniconda3/envs/R_4.0.1_dev/lib/libopenblasp-r0.3.10.so

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8
 [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils     datasets
[8] methods   base

other attached packages:
 [1] shiny_1.5.0                 iSEE_2.0.0
 [3] SingleCellExperiment_1.10.1 SummarizedExperiment_1.18.1
 [5] DelayedArray_0.14.0         matrixStats_0.56.0
 [7] Biobase_2.48.0              GenomicRanges_1.40.0
 [9] GenomeInfoDb_1.24.0         IRanges_2.22.1
[11] S4Vectors_0.26.0            BiocGenerics_0.34.0

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.4.6           lattice_0.20-41        circlize_0.4.10
 [4] shinyWidgets_0.5.3     png_0.1-7              digest_0.6.25
 [7] mime_0.9               R6_2.4.1               ggplot2_3.3.2
[10] colourpicker_1.0       pillar_1.4.6           GlobalOptions_0.1.2
[13] zlibbioc_1.34.0        rlang_0.4.7            miniUI_0.1.1.1
[16] GetoptLong_1.0.2       Matrix_1.2-18          DT_0.15
[19] labeling_0.3           shinyjs_1.1            splines_4.0.2
[22] htmlwidgets_1.5.1      igraph_1.2.5           RCurl_1.98-1.2
[25] munsell_0.5.0          vipor_0.4.5            compiler_4.0.2
[28] httpuv_1.5.4           pkgconfig_2.0.3        shinyAce_0.4.1
[31] shape_1.4.4            mgcv_1.8-31            htmltools_0.5.0
[34] tibble_3.0.3           GenomeInfoDbData_1.2.3 viridisLite_0.3.0
[37] crayon_1.3.4           later_1.1.0.1          bitops_1.0-6
[40] grid_4.0.2             nlme_3.1-148           jsonlite_1.7.0
[43] xtable_1.8-4           gtable_0.3.0           lifecycle_0.2.0
[46] magrittr_1.5           scales_1.1.1           farver_2.0.3
[49] XVector_0.28.0         promises_1.1.1         ellipsis_0.3.1
[52] vctrs_0.3.2            rjson_0.2.20           RColorBrewer_1.1-2
[55] tools_4.0.2            glue_1.4.1             crosstalk_1.1.0.1
[58] yaml_2.2.1             fastmap_1.0.1          clue_0.3-57
[61] colorspace_1.4-1       cluster_2.1.0          rintrojs_0.2.2
[64] shinydashboard_0.7.1   ComplexHeatmap_2.4.2