PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Genes prioritization with respect to Cancer Gene Modules using functional interaction network data
Matteo Re and Giorgio Valentini
In: NETTAB 2011 Workshop on Clinical Bioinformatics, 12-14 October, 2011, Pavia, Italy.

Abstract

The classification of genes as belonging or not to Cancer Gene modules (CGMs) can help in shedding light on bio-molecular mechanisms involved in the onset and progression of many types of tumors and is also able to open novel research directions for diagnostic, prognostic and therapeutic studies. In this contribution we propose a novel method suitable for CGMs membership prioritization in Functional Interaction networks. The proposed method was evaluated on previously published datasets and compares favorably with other state-of-the-art methods.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:9147
Deposited By:Giorgio Valentini
Deposited On:21 February 2012