MessinaFits-class

A class to store the individual messina or messinaSurv fits
to a dataset.

Messina is a collection of algorithms for constructing
        optimally robust single-gene classifiers, and for identifying
        differential expression in the presence of outliers or unknown
        sample subgroups.  The methods have application in identifying
        lead features to develop into clinical tests (both diagnostic
        and prognostic), and in identifying differential expression
        when a fraction of samples show unusual patterns of expression.

MessinaFits-class: The MessinaFits class

Description

Arguments

See Also