Last updated: 2022-01-05
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Knit directory: single-cell-topics/analysis/
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This is a more systematic comparison of the fastTopics DE analysis with MAST and DESeq2 based on an xinitial smaller simulation. The results were generated using the run_sims.R
script, and here we summarize the results.
sessionInfo()
# R version 3.6.2 (2019-12-12)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS Catalina 10.15.7
#
# Matrix products: default
# BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
#
# locale:
# [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#
# attached base packages:
# [1] stats graphics grDevices utils datasets methods base
#
# loaded via a namespace (and not attached):
# [1] workflowr_1.6.2 Rcpp_1.0.7 rprojroot_1.3-2 digest_0.6.23
# [5] later_1.0.0 R6_2.4.1 backports_1.1.5 git2r_0.26.1
# [9] magrittr_2.0.1 evaluate_0.14 stringi_1.4.3 rlang_0.4.11
# [13] fs_1.3.1 promises_1.1.0 whisker_0.4 rmarkdown_2.3
# [17] tools_3.6.2 stringr_1.4.0 glue_1.4.2 httpuv_1.5.2
# [21] xfun_0.11 yaml_2.2.0 compiler_3.6.2 htmltools_0.4.0
# [25] knitr_1.26