This toolbox implements a number of machine-learning based methods tailored to survival analysis, with a focus on processing micro-array expression data. This toolbox is written in MATLAB. Implementations are given of the MINLIP (and variations) approaches, as well as of the APTER approach. Precise descriptions of these methods are given in the papers in the reference tab. Scripts are given for reproducing the experiments reported in the latter paper. Some techniques as implemented make use of the Yalmip and Mosek package, and tuning of the methods (if needed) is performed using a standard cross-validation approach.

Required package: Mosek, Yalmip

Platform: Windows (x86/x64), Unix(x86/x64)

Recommand Matlab version: Later than Matlab 2011a