MessinaParameters-class: The MessinaParameters class
In messina: Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems

A class to store the parameters supplied to a messina or messinaSurv

x: a matrix of expression values supplied to the messina or messinaSurv functions. Features are in rows, samples in columns.
y: either a vector of class membership indicators (0/1 or TRUE/FALSE), for the messina case, or a Surv object for the messinaSurv case. In either case, each entry of y should match the corresponding sample column of x.
features: a character vector of feature ids, matching the rows of x.
samples: a character vector of sample ids, matching the columns of x and entries of y.
perf_requirement: a list of performance requirements. For messina results, contains named entries "min_sensitivity" and "min_specificity". For messinaSurv results, contains named entries "objective_type" and "min_objective".
minimum_group_fraction: the size, relative to the full sample size, of the smallest subgroup that may be defined by a threshold.
training_fraction: the fraction of samples used for training in each bootstrap round.
num_bootstraps: the number of bootstrap iterations to perform.
prng_seed: the PRNG seed used to initialize the PRNG before analysis.

messina documentation built on Nov. 8, 2020, 7:47 p.m.

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