View source: R/summarize-by-patient.R
summarize_by_patient | R Documentation |
This will reduce the number of columns in your binary matrix, and the resulting data frame will have only 1 col per gene, as opposed to separate columns for mutation/cna/fusion.
summarize_by_patient(gene_binary, other_vars = NULL)
gene_binary |
a 0/1 matrix of gene alterations |
other_vars |
One or more column names (quoted or unquoted) in data to be retained in resulting data frame. Default is NULL. |
Note that if samples to the same patient were sequenced on different panels, any indication of an alteration is counted as an alteration, but the absence of an alteration is only defined when all sequencing panels included the gene and indicated that it was not altered.
a binary matrix with a row for each sample and one column per gene
samples <- unique(gnomeR::mutations$sampleId)[1:10]
gene_binary <- create_gene_binary(
samples = samples, mutation = mutations, cna = cna,
mut_type = "somatic_only",
include_silent = FALSE,
specify_panel = "IMPACT341")
gene_binary$patient_id = extract_patient_id(gene_binary$sample_id)
summarize_by_patient(gene_binary)
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