BioCreative III Gene Normalization Benchmark Task
(Redirected from Gene Normalization (GN) challenge in BioCreative III)
A BioCreative III Gene Normalization Benchmark Task is a benchmark Gene Normalization Task associated with BioCreative III.
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- Counter-Example(s):
- See: BioCreative III, BioCreative Gene Normalization Benchmark Task.
References
2011
- http://www.biocreative.org/tasks/biocreative-iii/gn/
- QUOTE: The gene normalization (GN) task in BioCreative III is similar to the GN tasks in previous BioCreative tasks [1, 2] in that the goal is to link gene or gene products mentioned in the literature to standard database identifiers. However, in this year’s challenge, there are two significant characteristics that make it unique:
- Instead of using abstracts, full-length articles are provided.
- Instead of being species-specific, no species information is provided.
- QUOTE: The gene normalization (GN) task in BioCreative III is similar to the GN tasks in previous BioCreative tasks [1, 2] in that the goal is to link gene or gene products mentioned in the literature to standard database identifiers. However, in this year’s challenge, there are two significant characteristics that make it unique:
- (Lu, Kao et al., 2011) ⇒ Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illes Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sergio Matos, David Campos, Karin Verspoor, Kevin M Livingston, and W. John Wilbur. (2011). “The Gene Normalization Task in BioCreative III.” In: BMC Bioinformatics, 12(Suppl. 8).
- QUOTE: We report the Gene Normalization (GN) challenge in BioCreative III where participating teams were asked to return a ranked list of identifiers of the genes detected in full-text articles. For training, 32 fully and 500 partially annotated articles were prepared. A total of 507 articles were selected as the test set.