Figure 1From: Modelling gene expression profiles related to prostate tumor progression using binary statesBinary state model algorithm. (A) Overall methodology from gene expression to gene selection. First, an exhaustive search is used for parameter estimation of the binary state model. Then, mp, t and u parameters found are used to estimate sample and stage states in the dataset and in its permutated versions needed to estimate a stage-state profile null distribution. Gene selection is based on FDR of state-stage profiles. (B) Binary state model for samples and stages. gev stands for gene expression value. (C) Graphical example of the algorithm. Squares and rectangles represent samples and stages respectively.Back to article page