Large-scale directional relationship extraction and resolution

@article{Giles2008LargescaleDR,
  title={Large-scale directional relationship extraction and resolution},
  author={Cory B. Giles and Jonathan D. Wren},
  journal={BMC Bioinformatics},
  year={2008},
  volume={9},
  pages={S11 - S11}
}
Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a positive or negative manner. Detection of causality and direction is key in piecing pathways together and in examining possible implications of experimental results. Because of the size and growth of biomedical literature, it is increasingly important to be able to automate this process as much as possible. Here we present a… CONTINUE READING
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