Logistic regression of metastatic propensity based on INCOMMON classes. — met_propensity • INCOMMON

Logistic regression of metastatic propensity based on INCOMMON classes.

Usage

met_propensity(x, gene, tumor_type)

Arguments

x: An object of class 'INCOMMON' containing the classification results as produced by function classify.
gene: The gene on which patient's stratification is based.
tumor_type: The tumor type of patients to stratify.

Value

An object of class 'INCOMMON' containing an additional object survival.

Examples

# First load example classified data
data(MSK_PAAD_output)
# Estimate the metastatic propensity associated with mutant TP53 with vs without CNA in BRCA.
MSK_PAAD_output = met_propensity(x = MSK_PAAD_output, tumor_type = 'BRCA', gene = 'TP53')
#> Joining with `by = join_by(id)`