Merge metadata
Examples
mae <- get_synthetic_data("finalMAE_small.qs2")
se <- mae[[1]]
listSE <- list(
se,
se
)
metadata_fields <- identify_unique_se_metadata_fields(listSE)
merge_metadata(listSE, metadata_fields)
#> $identifiers
#> NULL
#>
#> $experiment_metadata
#> $experiment_metadata$sources
#> list()
#>
#>
#> $Keys
#> NULL
#>
#> $fit_parameters
#> NULL
#>
#> $.internal
#> $.internal$date_processed
#> [1] "2026-09-17"
#>
#> $.internal$session_info
#> R version 4.4.0 (2024-04-24)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 22.04.4 LTS
#>
#> Matrix products: default
#> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
#>
#> 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
#>
#> time zone: Etc/UTC
#> tzcode source: system (glibc)
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] gDRcore_1.11.14 gDRtestData_1.11.7 testthat_3.2.1.1
#>
#> loaded via a namespace (and not attached):
#> [1] farver_2.1.2 fastmap_1.2.0
#> [3] BumpyMatrix_1.12.0 TH.data_1.1-2
#> [5] promises_1.5.0 stringfish_0.19.2
#> [7] digest_0.6.39 mime_0.13
#> [9] lifecycle_1.0.5 ellipsis_0.3.2
#> [11] gDRutils_1.11.9 survival_3.5-8
#> [13] magrittr_2.0.5 compiler_4.4.0
#> [15] rlang_1.3.0 drc_3.0-1
#> [17] tools_4.4.0 plotrix_3.8-14
#> [19] data.table_1.18.4 lambda.r_1.2.4
#> [21] S4Arrays_1.4.1 htmlwidgets_1.6.4
#> [23] pkgbuild_1.4.8 DelayedArray_0.30.1
#> [25] RColorBrewer_1.1-3 pkgload_1.4.0
#> [27] multcomp_1.4-31 abind_1.4-8
#> [29] BiocParallel_1.38.0 miniUI_0.1.2
#> [31] withr_3.0.3 purrr_1.2.2
#> [33] BiocGenerics_0.50.0 desc_1.4.3
#> [35] grid_4.4.0 stats4_4.4.0
#> [37] urlchecker_1.0.1 profvis_0.3.8
#> [39] xtable_1.8-8 scales_1.4.0
#> [41] gtools_3.9.5 MASS_7.3-60.2
#> [43] MultiAssayExperiment_1.30.2 SummarizedExperiment_1.34.0
#> [45] cli_3.6.6 mvtnorm_1.2-5
#> [47] crayon_1.5.3 remotes_2.4.2.9000
#> [49] RcppParallel_6.2.0 otel_0.2.0
#> [51] rstudioapi_0.18.0 httr_1.4.8
#> [53] sessioninfo_1.2.3 cachem_1.1.0
#> [55] stringr_1.6.0 zlibbioc_1.50.0
#> [57] splines_4.4.0 parallel_4.4.0
#> [59] XVector_0.44.0 formatR_1.14
#> [61] matrixStats_1.5.0 vctrs_0.7.3
#> [63] devtools_2.4.5 Matrix_1.7-0
#> [65] sandwich_3.1-3 jsonlite_2.0.0
#> [67] carData_3.0-6 car_3.1-5
#> [69] IRanges_2.38.0 S4Vectors_0.42.0
#> [71] Formula_1.2-6 glue_1.8.1
#> [73] codetools_0.2-20 stringi_1.8.9
#> [75] futile.logger_1.4.9 later_1.4.8
#> [77] GenomeInfoDb_1.40.1 GenomicRanges_1.56.1
#> [79] UCSC.utils_1.0.0 htmltools_0.5.9
#> [81] brio_1.1.5 GenomeInfoDbData_1.2.12
#> [83] R6_2.6.1 rprojroot_2.1.1
#> [85] Biobase_2.64.0 shiny_1.13.0
#> [87] lattice_0.22-6 futile.options_1.0.1
#> [89] backports_1.5.1 memoise_2.0.1
#> [91] httpuv_1.6.17 Rcpp_1.1.2
#> [93] SparseArray_1.4.8 checkmate_2.3.4
#> [95] qs2_0.2.2 fs_2.1.0
#> [97] MatrixGenerics_1.16.0 zoo_1.9-0
#> [99] usethis_2.2.3
#>
#>