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.

Genes prioritization with respect to Cancer Gene Modules using functional interaction network data / M. Re, G. Valentini. ((Intervento presentato al convegno NETTAB Workshop on Clinical Bioinformatics tenutosi a Pavia nel 2011.

Genes prioritization with respect to Cancer Gene Modules using functional interaction network data

M. Re
Primo
;
G. Valentini
Ultimo
2011

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.
2011
Settore INF/01 - Informatica
IST
BITS
http://homes.di.unimi.it/~valenti/papers/ReValentiniNETTAB11posterpaper3.pdf
Genes prioritization with respect to Cancer Gene Modules using functional interaction network data / M. Re, G. Valentini. ((Intervento presentato al convegno NETTAB Workshop on Clinical Bioinformatics tenutosi a Pavia nel 2011.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/177637
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