load('../revolver copy master 12 otto/data_old/CRC.RData')
CRC
require(tidyverse)
require(revolver)
CROSS_CRC_ADENOCARCINOMA = CRC %>% as_tibble %>% mutate(cluster = paste(cluster))
save(CROSS_CRC_ADENOCARCINOMA, file = "~/Downloads/CROSS_CRC_ADENOCARCINOMA.RData")
CROSS_CRC_ADENOCARCINOMA_REVOLVER = revolver_cohort(CROSS_CRC_ADENOCARCINOMA, MIN.CLUSTER.SIZE = 0)
non_recurrent = Stats_drivers(CROSS_CRC_ADENOCARCINOMA_REVOLVER) %>%
filter(N_tot == 1) %>%
pull(variantID)
CROSS_CRC_ADENOCARCINOMA_REVOLVER = remove_drivers(CROSS_CRC_ADENOCARCINOMA_REVOLVER, non_recurrent)
CROSS_CRC_ADENOCARCINOMA_REVOLVER = compute_mutation_trees(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
CROSS_CRC_ADENOCARCINOMA_REVOLVER = revolver_fit(CROSS_CRC_ADENOCARCINOMA_REVOLVER, parallel = F, n = 5, initial.solution = NA)
CROSS_CRC_ADENOCARCINOMA_REVOLVER = revolver_cluster(CROSS_CRC_ADENOCARCINOMA_REVOLVER,
split.method = 'cutreeHybrid',
min.group.size = 3)
CROSS_CRC_ADENOCARCINOMA_REVOLVER = revolver_jackknife(CROSS_CRC_ADENOCARCINOMA_REVOLVER,
resamples = 10,
... = list(
`split.method` = 'cutreeHybrid',
`min.group.size` = 3
)
)
plot_clusters(CROSS_CRC_ADENOCARCINOMA_REVOLVER, cutoff_trajectories = 1, cutoff_drivers = 0)
plot_drivers_graph(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_dendrogram(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_DET_index(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_drivers_clonality(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_drivers_occurrence(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_jackknife_cluster_stability(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_jackknife_coclustering(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_jackknife_trajectories_stability(CROSS_CRC_ADENOCARCINOMA_REVOLVER)
plot_patient_trees(CROSS_CRC_ADENOCARCINOMA_REVOLVER, CROSS_CRC_ADENOCARCINOMA_REVOLVER$patients[1])
# Breast fits
require(revolver)
data('YATES_BREAST_NATMED_2015', package = 'evoverse.datasets')
cohort = revolver_cohort(YATES_BREAST_NATMED_2015, MIN.CLUSTER.SIZE = 0)
YATES_BREAST_CANCERS_REVOLVER = compute_mutation_trees(YATES_BREAST_CANCERS_REVOLVER)
YATES_BREAST_CANCERS_REVOLVER = revolver_fit(YATES_BREAST_CANCERS_REVOLVER, parallel = F, n = 5, initial.solution = NA)
YATES_BREAST_CANCERS_REVOLVER = revolver_cluster(YATES_BREAST_CANCERS_REVOLVER,
split.method = 'cutreeHybrid',
min.group.size = 3)
YATES_BREAST_CANCERS_REVOLVER = revolver_jackknife(YATES_BREAST_CANCERS_REVOLVER,
resamples = 10,
... = list(
`split.method` = 'cutreeHybrid',
`min.group.size` = 3
)
)
plot_clusters(YATES_BREAST_CANCERS_REVOLVER, cutoff_trajectories = 1, cutoff_drivers = 0)
plot_drivers_graph(YATES_BREAST_CANCERS_REVOLVER)
plot_dendrogram(YATES_BREAST_CANCERS_REVOLVER)
plot_DET_index(YATES_BREAST_CANCERS_REVOLVER)
plot(YATES_BREAST_CANCERS_REVOLVER)
plot_drivers_clonality(YATES_BREAST_CANCERS_REVOLVER)
plot_drivers_occurrence(YATES_BREAST_CANCERS_REVOLVER)
plot_jackknife_cluster_stability(YATES_BREAST_CANCERS_REVOLVER)
plot_jackknife_coclustering(YATES_BREAST_CANCERS_REVOLVER)
plot_jackknife_trajectories_stability(YATES_BREAST_CANCERS_REVOLVER)
plot_patient_trees(YATES_BREAST_CANCERS_REVOLVER, YATES_BREAST_CANCERS_REVOLVER$patients[1])
plot_patient_oncoprint(YATES_BREAST_CANCERS_REVOLVER, YATES_BREAST_CANCERS_REVOLVER$patients[1])
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