The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text

BACKGROUND: Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without artificial constraints, measuring performance aspects that go beyond traditional metrics. The BioCreative III Protein-Protein Interaction (PPI) tasks were motiv...

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Библиографические подробности
Главные авторы: Krallinger, Martin, Vazquez, Miguel, Leitner, Florian, Salgado, David, Chatr-aryamontri, Andrew, Winter, Andrew, Perfetto, Livia, Briganti, Leonardo, Licata, Luana, Iannuccelli, Marta, Castagnoli, Luisa, Cesareni, Gianni, Tyers, Mike, Schneider, Gerold, Rinaldi, Fabio, Leaman, Robert, Gonzalez, Graciela, Matos, Sergio, Kim, Sun, Wilbur, W John, Rocha, Luis, Shatkay, Hagit, Tendulkar, Ashish V, Agarwal, Shashank, Liu, Feifan, Wang, Xinglong, Rak, Rafal, Noto, Keith, Elkan, Charles, Lu, Zhiyong, Dogan, Rezarta Islamaj, Fontaine, Jean-Fred, Andrade-Navarro, Miguel A, Valencia, Alfonso
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2011
Предметы:
Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3269938/
https://ncbi.nlm.nih.gov/pubmed/22151929
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-S8-S3
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