cbg-ethz/TreeMHN
Joint inference of repeated evolutionary trajectories and patterns of clonal exclusivity from single-cell mutation trees

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cbg-ethz/TreeMHN: Joint inference of repeated evolutionary trajectories and patterns of clonal exclusivity from single-cell mutation trees
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Files in cbg-ethz/TreeMHN
Joint inference of repeated evolutionary trajectories and patterns of clonal exclusivity from single-cell mutation trees

.Rbuildignore
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DESCRIPTION
Example/Data/AML_morita/AML_Theta.RData
Example/Data/AML_morita/AML_tree_obj.RData
Example/Data/TRACERx_NSCLC/TRACERx_Theta_SS_gamma1.00e-03_threshold0.99_nsim1000.RData
Example/Data/TRACERx_NSCLC/TRACERx_tree_obj.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma1.00e-03_threshold0.99_nsim1000_receptor1_sample1.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma1.50e-01_threshold0.99_nsim1000_receptor2_sample1.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma1.75e-01_threshold0.99_nsim1000_receptor2_sample2.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma2.00e-01_threshold0.99_nsim1000.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma3.00e-03_threshold0.99_nsim1000_receptor3_sample1.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma3.00e-03_threshold0.99_nsim1000_receptor4_sample1.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma4.00e-03_threshold0.99_nsim1000_receptor4_sample2.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma5.00e-03_threshold0.99_nsim1000_receptor1_sample2.RData
Example/Data/breast_razavi/breast_Theta_SS_gamma7.50e-03_threshold0.99_nsim1000_receptor3_sample2.RData
Example/Data/breast_razavi/breast_tree_obj.RData
Example/Demo.Rmd Example/Demo.md
Example/Demo_cache/gfm/AML_SS_692006c080ee0e0a2e5a06ce653ccae2.RData
Example/Demo_cache/gfm/AML_SS_692006c080ee0e0a2e5a06ce653ccae2.rdb
Example/Demo_cache/gfm/AML_SS_692006c080ee0e0a2e5a06ce653ccae2.rdx
Example/Demo_cache/gfm/AML_with_mask_2760089ffdcc57a02e791949e384f711.RData
Example/Demo_cache/gfm/AML_with_mask_2760089ffdcc57a02e791949e384f711.rdb
Example/Demo_cache/gfm/AML_with_mask_2760089ffdcc57a02e791949e384f711.rdx
Example/Demo_cache/gfm/TreeMHN_SS_ca2fe0844524e5ee80b4198aeaaca2f3.RData
Example/Demo_cache/gfm/TreeMHN_SS_ca2fe0844524e5ee80b4198aeaaca2f3.rdb
Example/Demo_cache/gfm/TreeMHN_SS_ca2fe0844524e5ee80b4198aeaaca2f3.rdx
Example/Demo_cache/gfm/__packages
Example/Demo_cache/gfm/generate_trees_5e49b3aa21bded575b83c6b0508ec732.RData
Example/Demo_cache/gfm/generate_trees_5e49b3aa21bded575b83c6b0508ec732.rdb
Example/Demo_cache/gfm/generate_trees_5e49b3aa21bded575b83c6b0508ec732.rdx
Example/Demo_cache/gfm/learn_one_MHN_59f8bd297c7958daa2dec1225109c371.RData
Example/Demo_cache/gfm/learn_one_MHN_59f8bd297c7958daa2dec1225109c371.rdb
Example/Demo_cache/gfm/learn_one_MHN_59f8bd297c7958daa2dec1225109c371.rdx
Example/Demo_files/figure-gfm/display_one_tree-1.png
Example/Demo_files/figure-gfm/next_mutations-1.png
Example/Demo_files/figure-gfm/plot_AML_Theta-1.png
Example/Demo_files/figure-gfm/plot_AML_Theta_full-1.png
Example/Demo_files/figure-gfm/plot_AML_pathways-1.png
Example/Demo_files/figure-gfm/read_AML-1.png
Example/Demo_files/figure-gfm/theta_plots-1.png
Example/Demo_files/figure-gfm/theta_plots-2.png
Example/Demo_files/figure-gfm/theta_plots-3.png
Example/Demo_files/figure-gfm/theta_plots2-1.png
Example/Simulation/0.setup.R Example/Simulation/1.structure_learning_w_SS.R Example/Simulation/2.pathKL_runtime_memory.R Example/Simulation/3.plot_script.R
Example/Simulation/README.txt
Example/Simulation/pathKL_runtime_memory/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n10_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n15_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Baseline_MHN_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n20_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N200_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N300_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/Others_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MCEM_v1.RData
Example/Simulation/pathKL_runtime_memory/n30_N500_s0.5_er0.5_MC50_M300_gamma1.00_norder4_100/TreeMHN_MLE_v1.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run1.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run10.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run100.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run11.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run12.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run13.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run14.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run15.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run16.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run17.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run18.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run19.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run2.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run20.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run21.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run22.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run23.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run24.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run25.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run26.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run27.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run28.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run29.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run3.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run30.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run31.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run32.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run33.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run34.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run35.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run36.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run37.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run38.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run39.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run4.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run40.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run41.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run42.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run43.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run44.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run45.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run46.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run47.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run48.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run49.RData
Example/Simulation/structure_learning_w_SS/n10_N100_s0.5_er0.5_MC50_M300_gamma1.00_norder4_cores125_subsampling200_threshold0.95_v1/run5.RData
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LICENSE
NAMESPACE
R/RcppExports.R R/TreeMHN-package.R R/assessment.R R/input_output.R R/learn_MHN.R R/plot_fns.R R/simulations.R R/util_fns.R R/zzz.R README.md
TreeMHN_0.1.0.tar.gz
figures/Affiliations.png
figures/TreeMHN_Logo.png
man/KL_divergence.Rd man/Theta_to_pathways.Rd man/compare_Theta.Rd man/generate_trees.Rd man/get_MC_flags.Rd man/get_hintra_pathways.Rd man/get_revolver_pathways.Rd man/initialize_Theta.Rd man/input_tree_df.Rd man/learn_MHN.Rd man/output_tree_df.Rd man/plot_Theta.Rd man/plot_next_mutations.Rd man/plot_observed_pathways.Rd man/plot_pathways.Rd man/plot_pathways_w_sampling.Rd man/plot_tree_df.Rd man/plot_tree_list.Rd man/random_Theta.Rd man/sort_one_tree_df.Rd man/tree_df_to_genotypes.Rd man/tree_df_to_trees.Rd man/trees_to_revolver_W.Rd
src/Makevars
src/RcppExports.cpp
src/RcppExports.o
src/TreeMHN.so
src/em_fns.cpp
src/em_fns.h
src/em_fns.o
src/optim_fns.cpp
src/optim_fns.o
src/process_trees.cpp
src/process_trees.o
src/utils.cpp
src/utils.h
src/utils.o
cbg-ethz/TreeMHN documentation built on Jan. 29, 2024, 1:29 p.m.

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