Protein Localization Information Extraction (IE) Task

A Protein Localization Information Extraction (IE) Task is an biomedical IE task where the biomedical information is protein localization events.

• AKA: Subcellular Localization IE.
• Context:
  • It can be supported by a Subcellular Localization Recognition Task.
• Example(s):
  • a PPLRE Task.
• See: Protein Localization Mention.

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References

2007

• (Melli et al., 2007) ⇒ Gabor Melli, Martin Ester, and Anoop Sarkar. (2007). “Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts.” In: Proceedings of LBM-2007. (presentation)

2006

• (Hoglund et al., 2006) ⇒ A. Hoglund, T. Blum, S. Brady, P. Donnes, J. San Miguel, M. Rocheford, O. Kohlbacher, and H. Shatkay. (2006). “Significantly improved prediction of subcellular localization by integrating text and protein sequence data.” In: Pacific Symposium on Biocomputing, vol.11.

2005

• (Lu & Hunter, 2005) ⇒ Z. Lu and L. Hunter. (2005). “Go molecular function terms are predictive of subcellular localization.” In: Proceedings of the Pacific Symposium on Biocomputing (PSB), vol.10.
• (Nair & Rost, 2005) ⇒ Rajesh Nair and Burkhard Rost. (2005). “Mikicking cellular sorting improves prediction of subcellular localization.” In: Journal of Molecular Biology, 34.

2004

• (Eskin & Agichtein, 2004) ⇒ E. Eskin, and Eugene Agichtein. (2004). “Combining Text Mining and Sequence Analysis to Discover Protein Functional Regions.” In: Pacific Symposium on Biocomputing, 9.

2002

• (Nair & Rost, 2002) ⇒ Rajesh Nair, and Burkhard Rost. (2002). “Inferring Sub-cellular Localization Through Automated Lexical Analysis.” In: Bioinformatics, 18,(90001) doi:10.1093/bioinformatics/18.suppl_1.S78
• (Stapley et al., 2002) ⇒ Ben J. Stapley, Lawrence A. Kelley, Michael J. E. Sternberg. (2002). “Predicting the Sub-Cellular Location of Proteins from Text Using Support Vector Machines.” In: Pacific Symposium on Biocomputing, 7.

2001

• (Ray & Craven, 2001) ⇒ Soumya Ray and Mark Craven. (2001). “Representing sentence structure in hidden markov models for information extraction.” In: Proceedings of IJCAI 2001.

1999

• (Craven & Kumlien, 1999) ⇒ Mark Craven, and J. Kumlien. (1999). “Constructing biological knowledge-bases by extracting information from text sources.” In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology.

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