MessinaParameters-class {messina} | R Documentation

## The MessinaParameters class

### Description

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

### Slots

`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.

### Author(s)

Mark Pinese m.pinese@garvan.org.au

### See Also

`messina`

`messinaSurv`

`MessinaResult-class`

[Package messina version 1.30.0 Index]