GMDH-based Approach for Analysis of Mass Spectra in Clinical Proteomics. Dimitri V. Nowicki, Vladislav Shaposhnik, Ali Bouamrani, Marie Arlotto, François Berger, Tatyana I. Aksenova. IWIM, Prague, 2007.

 Article (in pdf)

Abstract. Several architectures and algorithms of feed-forward networks and neural associative memories as well as GMDH-based polynomial NNs are tried for proteomic data analysis. The problem of chemotherapy responsiveness prediction by data of mass-spectroscopy is considered to explore potential applications of different neural paradigms for this domain.

Keywords. Artificial neural networks, polynomial neural networks, proteomics array.

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