GIBGM_causality

This project provide a new method to infer the causal structure among genes. Characterize genes into Causal/effect genes.

sessionInfo()

R version 3.5.1 (2018-07-02) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: macOS 10.14

Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.5/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] splines stats graphics grDevices utils datasets methods base

other attached packages: [1] snpStats_1.30.0 survival_2.42-6 factoextra_1.0.5 ggplot2_3.1.0 fda_2.4.8 Matrix_1.2-14
[7] MASS_7.3-51

loaded via a namespace (and not attached): [1] Rcpp_0.12.19 bindr_0.1.1 magrittr_1.5 BiocGenerics_0.26.0 zlibbioc_1.26.0
[6] tidyselect_0.2.5 munsell_0.5.0 colorspace_1.3-2 lattice_0.20-35 R6_2.3.0
[11] rlang_0.3.0.1 plyr_1.8.4 dplyr_0.7.7 tools_3.5.1 parallel_3.5.1
[16] grid_3.5.1 gtable_0.2.0 withr_2.1.2 lazyeval_0.2.1 assertthat_0.2.0
[21] tibble_1.4.2 crayon_1.3.4 bindrcpp_0.2.2 purrr_0.2.5 ggrepel_0.8.0
[26] glue_1.3.0 compiler_3.5.1 pillar_1.3.0 scales_1.0.0 pkgconfig_2.0.2