Discovering genes-diseases associations from specialized literature using the grid

Authors:
Alberto Faro;Daniela Giordano;Francesco Maiorana;Concetto Spampinato
Affiliations:
Dipartimento di Ingegneria Informatica e Telecomunicazioni, Università di Catania, Catania, Italy;Dipartimento di Ingegneria Informatica e Telecomunicazioni, Università di Catania, Catania, Italy;Dipartimento di Ingegneria Informatica e Telecomunicazioni, Università di Catania, Catania, Italy;Dipartimento di Ingegneria Informatica e Telecomunicazioni, Università di Catania, Catania, Italy
Venue:
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Year:
2009

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Abstract

This paper proposes a novel method for text mining on the Grid, aimed at pointing out hidden relationships for hypothesis generation and suitable for semi-interactive querying. The method is based on unsupervised clustering and the outputs are visualized with contextual information. Grid implementation is crucial for feasibility. We demonstrate it with a mining run for discovering genes-diseases associations from bibliographic sources and annotated databases. The proposed methodology is in view of a Grid architecture specialized in bioinformatics mining tasks. Some performance considerations are provided.