CoMAGC: a corpus with multi-faceted annotations of gene-cancer relations.

ABSTRACT:

Background

In order to access the large amount of information in biomedical literature about genes implicated in various cancers both efficiently and accurately, the aid of text mining (TM) systems is invaluable. Current TM systems do target either gene-cancer relations or biological processes involving genes and cancers, but the former type produces information not comprehensive enough to explain how a gene affects a cancer, and the latter does not provide a concise summary of gene-cancer relations.

Results

In this paper, we present a corpus for the development of TM systems that are specifically targeting gene-cancer relations but are still able to capture complex information in biomedical sentences. We describe CoMAGC, a corpus with multi-faceted annotations of gene-cance

SUBMITTER: Lee HJ 

PROVIDER: S-EPMC3833657 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature