Computing Molecular Signatures as Optima of a Bi-Objective Function: Method and Application to Prediction in Oncogenomics

Conclusions: Defining molecular signatures as the optima of a bi-objective function that combined the signature size and the interclass distance was well founded and efficient for prediction in oncogenomics. The complexity of the computation was very low because the optimal signatures were the sets of genes in the ranking of their valuation. Software can be freely downloaded from http://gardeux-vincent.eu/DeltaRanking.php

Source: Cancer Informatics - April 19, 2015 Category: Cancer & Oncology Authors: Vincent GardeuxRachid ChelouahMaria F. Barbosa WanderleyPatrick SiarryAntônio P. BragaFabien ReyalRoman RouzierLajos PusztaiRené Natowicz Source Type: research