Last updated: 2022-07-07
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Knit directory: BH3profiling/analysis/
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Use baseline level from DBP profiling
Prepare sample background annotations
Drug resposne data (IC50 screen)
[1] 52
Prepare genomics
Genes that will be included in the multivariate model
[1] "IGHV.status" "del11q" "del13q" "del17p" "trisomy12"
[6] "NOTCH1" "SF3B1" "TP53"
BH3 profiling
Drug responses
For genomic data
Clean and integrate multi-omics data
Perform lasso regression
Function for plotting variance explained for each measurement
Plot all heatmaps
[1] 52
[1] 52
If multiple concentrations are identified as significant, only show the most significant concentration.
R version 4.2.0 (2022-04-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur/Monterey 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/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] stats4 stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] gtable_0.3.0 latex2exp_0.9.4
[3] forcats_0.5.1 stringr_1.4.0
[5] dplyr_1.0.9 purrr_0.3.4
[7] readr_2.1.2 tidyr_1.2.0
[9] tibble_3.1.7 tidyverse_1.3.1
[11] SummarizedExperiment_1.26.1 Biobase_2.56.0
[13] GenomicRanges_1.48.0 GenomeInfoDb_1.32.2
[15] IRanges_2.30.0 S4Vectors_0.34.0
[17] BiocGenerics_0.42.0 MatrixGenerics_1.8.0
[19] matrixStats_0.62.0 igraph_1.3.2
[21] ggraph_2.0.5 ggplot2_3.3.6
[23] tidygraph_1.2.1 limma_3.52.2
[25] cowplot_1.1.1 qgraph_1.9.2
[27] jyluMisc_0.1.5
loaded via a namespace (and not attached):
[1] utf8_1.2.2 shinydashboard_0.7.2 tidyselect_1.1.2
[4] htmlwidgets_1.5.4 grid_4.2.0 BiocParallel_1.30.3
[7] maxstat_0.7-25 munsell_0.5.0 codetools_0.2-18
[10] DT_0.23 withr_2.5.0 colorspace_2.0-3
[13] highr_0.9 knitr_1.39 rstudioapi_0.13
[16] ggsignif_0.6.3 labeling_0.4.2 git2r_0.30.1
[19] slam_0.1-50 GenomeInfoDbData_1.2.8 mnormt_2.1.0
[22] KMsurv_0.1-5 polyclip_1.10-0 farver_2.1.0
[25] rprojroot_2.0.3 vctrs_0.4.1 generics_0.1.2
[28] TH.data_1.1-1 xfun_0.31 sets_1.0-21
[31] R6_2.5.1 graphlayouts_0.8.0 bitops_1.0-7
[34] fgsea_1.22.0 DelayedArray_0.22.0 assertthat_0.2.1
[37] promises_1.2.0.1 scales_1.2.0 multcomp_1.4-19
[40] nnet_7.3-17 sandwich_3.0-2 workflowr_1.7.0
[43] rlang_1.0.2 splines_4.2.0 rstatix_0.7.0
[46] broom_0.8.0 checkmate_2.1.0 yaml_2.3.5
[49] reshape2_1.4.4 abind_1.4-5 modelr_0.1.8
[52] crosstalk_1.2.0 backports_1.4.1 httpuv_1.6.5
[55] Hmisc_4.7-0 tools_4.2.0 relations_0.6-12
[58] psych_2.2.5 lavaan_0.6-11 ellipsis_0.3.2
[61] gplots_3.1.3 jquerylib_0.1.4 RColorBrewer_1.1-3
[64] Rcpp_1.0.8.3 plyr_1.8.7 base64enc_0.1-3
[67] visNetwork_2.1.0 zlibbioc_1.42.0 RCurl_1.98-1.7
[70] ggpubr_0.4.0 rpart_4.1.16 pbapply_1.5-0
[73] viridis_0.6.2 zoo_1.8-10 haven_2.5.0
[76] ggrepel_0.9.1 cluster_2.1.3 exactRankTests_0.8-35
[79] fs_1.5.2 magrittr_2.0.3 data.table_1.14.2
[82] reprex_2.0.1 survminer_0.4.9 mvtnorm_1.1-3
[85] hms_1.1.1 shinyjs_2.1.0 mime_0.12
[88] evaluate_0.15 xtable_1.8-4 jpeg_0.1-9
[91] readxl_1.4.0 gridExtra_2.3 compiler_4.2.0
[94] KernSmooth_2.23-20 crayon_1.5.1 htmltools_0.5.2
[97] mgcv_1.8-40 corpcor_1.6.10 later_1.3.0
[100] tzdb_0.3.0 Formula_1.2-4 lubridate_1.8.0
[103] DBI_1.1.3 tweenr_1.0.2 dbplyr_2.2.0
[106] MASS_7.3-57 Matrix_1.4-1 car_3.1-0
[109] cli_3.3.0 marray_1.74.0 parallel_4.2.0
[112] pkgconfig_2.0.3 km.ci_0.5-6 foreign_0.8-82
[115] piano_2.12.0 xml2_1.3.3 pbivnorm_0.6.0
[118] bslib_0.3.1 XVector_0.36.0 drc_3.0-1
[121] rvest_1.0.2 digest_0.6.29 cellranger_1.1.0
[124] rmarkdown_2.14 fastmatch_1.1-3 survMisc_0.5.6
[127] htmlTable_2.4.0 shiny_1.7.1 gtools_3.9.2.2
[130] lifecycle_1.0.1 nlme_3.1-158 glasso_1.11
[133] jsonlite_1.8.0 carData_3.0-5 viridisLite_0.4.0
[136] fansi_1.0.3 pillar_1.7.0 lattice_0.20-45
[139] fastmap_1.1.0 httr_1.4.3 plotrix_3.8-2
[142] survival_3.3-1 glue_1.6.2 fdrtool_1.2.17
[145] png_0.1-7 ggforce_0.3.3 stringi_1.7.6
[148] sass_0.4.1 latticeExtra_0.6-29 caTools_1.18.2