CIMICE-R: (Markov) Chain Method to Inferr Cancer Evolution


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Documentation for package ‘CIMICE’ version 1.1.3

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annotate_mutational_matrix Add samples and genes names to a mutational matrix
binary_radix_sort Radix sort for a binary matrix
build_subset_graph Remove transitive edges and prepare graph
build_topology_subset Compute subset relation as edge list
chunk_reader Gradually read a file from disk
CIMICE CIMICE Package
compact_dataset Compact dataset rows
computeDWNW Down weights computation
computeDWNW_aux Down weights computation (aux)
computeUPW Up weights computation
computeUPW_aux Up weights computation (aux)
compute_weights_default Compute default weights
corrplot_from_mutational_matrix Correlation plot from mutational matrix
corrplot_genes Gene based correlation plot
corrplot_samples Sample based correlation plot
dataset_preprocessing Run CIMICE preprocessing
dataset_preprocessing_population Run CIMICE preprocessing for poulation format dataset
draw_ggraph ggplot graph output
draw_networkD3 NetworkD3 graph output
draw_visNetwork VisNetwork graph output (default)
example_dataset Creates a simple example dataset
example_dataset_withFreqs Creates a simple example dataset with frequency column
fix_clonal_genotype Manage Clonal genotype in data
format_labels Format labels for output object
gene_mutations_hist Histogram of genes' frequencies
get_no_of_children Get number of children
graph_non_transitive_subset_topology Default preparation of graph topology
make_dataset Dataset line by line construction: initialization
make_labels Helper function to create labels
normalizeDWNW Down weights normalization
normalizeUPW Up weights normalization
prepare_labels Prepare node labels based on genotypes
quick_run Run CIMICE defaults
read Read a "CAPRI" file
read_CAPRI Read a "CAPRI" file
read_CAPRIpop Read a "CAPRIpop" file
read_CAPRIpop_string Read "CAPRIpop" file from a string
read_CAPRI_string Read "CAPRI" file from a string
read_MAF Create mutational matrix from MAF file
read_matrix Read dataset from an R matrix
sample_mutations_hist Histogram of samples' frequencies
select_genes_on_mutations Filter dataset by genes' mutation count
select_samples_on_mutations Filter dataset by samples' mutation count
to_dot Dot graph output
update_df Dataset line by line construction: add a sample