Biomedical literature mining for text classification and construction of gene networks

Authors:
Despoina Antonakaki;Alexandros Kanterakis;George Potamias
Affiliations:
Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece;Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece;Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece
Venue:
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Year:
2006

Citing 2
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Abstract

A multi-layered biomedical literature mining approach is presented aiming to the discovery of gene-gene correlations and the construction of respective gene networks. Utilization of the Trie-memory data structure enables efficient manipulation of different gene nomenclatures. The whole approach is coupled with a texts (biomedical abstracts) classification method. Experimental validation and evaluation results show the rationality, efficiency and reliability of the approach.