Advertisement
Published in:
2006 | OriginalPaper | Chapter
Biomedical Literature Mining for Text Classification and Construction of Gene Networks
Authors : Despoina Antonakaki, Alexandros Kanterakis, George Potamias
Published in: Advances in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.