|
[1] Huai-Jen Hsu, “A Biomedical Text Mining System in Gene’s Information Discovery,” 2002. [2] Chuan-Yang Wu, “Extracting Gene Function from Biomedical Articles,” 2004. [3] Sheng-Syuan Gan, “A Summarization System for Gene Relations in Biomedical Literatures,” 2004. [4] Ono, T., Hishigaki, H., Tanigami, A. and Takagi, T., “Automated Extraction of Information on. Protein-Protein Interactions from the Biological Literature,” Bioinformatics, Vol.17, No.2, pp.155-161, Feb., 2001. [5] Temkin, JM and Gilder, MR, “Extraction of Protein Interaction Information from Unstructured. Text Using A Context-Free Grammar,” Bioinformatics, Vol. 19, No.16, pp.2046-2053, Nov., 2003. [6] Corney, David, Buxton, Bernard, Langdon, William and Jones, David, “Extracting Biological Information from Full-length Papers,” Bioinformatics, Vol. 20, No. 17, 22, pp. 3206-3213(8), November 2004. [7] Franzen K., Eriksson G., Olsson F., Asker L., Liden P., Coester J., “Protein names and how to find them,” International Journal of Medical Informatics, Vol. 67/1-3, Special Issue on NLP in Biomedical Applications, pp.49-61. [8] Mika, S. and Rost, B., “Protein Names Precisely Peeled off Free Text,” Bioinformatics, Vol. 20, Supplement 1, pp. 241-247, Aug., 2004. 56 [9] Fukuda, K. , Tamura, A., Tsunoda, T., and Tagagi, T., “Toward Information Extraction: Identifying protein names from biological papers, The Pacific Symposium on Biocomputing ’98, pp.707-718, 1998. [10] D., Zhang, J., Zhou, G., Su, J. Tan, CL, “Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for biomedical Domain,” ACL03 Workshop on Natural Language Processing in Biomedicine, Sapporo, Japan, July 2003, pp.49-56. [11] Y. Lin, T. Tsai, W. Chou, K. Wu, T. Sung and W. Hsu, “A Maximum Entropy Approach to Biomedical Named Entity Recognition,” The 4thWorkshop on Data Mining in Bioinformatics, pp. 56-61, 2004. [12] Kazama J, Makino T, Ohta Y, Tsujii J, “Tuning Support Vector Machines for Biomedical Named Entity Recognition,” Natural Language Processing in the Biomedical Domain (ACL2002), pp. 1-8. [13] Chang JT, Schutze H, Altman RB, “GAPSCORE: finding gene and protein names one word at a time,” Bioinformatics, Vol. 22 No.2, pp.216- 225, 2004. [14] Mikio Yoshida, Ken-ichiro Fukuda and Toshihisa Takagi, “PNAD-CSS: a workbench for constructing a protein name abbreviation dictionary,” Bioinformatics, vol.16, no. 2, pp,169-175, 2000. [15] Eytan Adar, “SaRAD: a Simple and Robust Abbreviation Dictionary,” Bioinformatics 20(4), 2004. [16] Marcel H. N. Hoefnagel, Marjo J. C. Starrenburg, Dirk E. Martens, Jeroen Hugenholtz, Michiel Kleerebezem, Iris I. Van Swam, Roger Bongers, Hans V. Westerhoff and Jacky L.,“Metabolic engineering of lactic acid bacteria, the combined approach: kinetic modelling, metabolic control and experimental analysis, ” Microbiology 148, pp. 1003-1013, 2002. 57 [17] Brill E., “A simple rule-based part of speech tagger,” The 3rd Conference on Applied Natural Language Processing, ACL, Trento, Italy, 1992. [18] EBERHARD O. VOIT, “Computation Analysis of Biochemical Systems”. [19] James M. Bower and Hamid Bolouri, “Computational Modeling of Genetic and Biochemical Networks,” The MIT Press, Cambridge, MA ,2001. [20] E. Klipp, R. Herwig, A. Kowald, C. Wierling, and H. Lehrach, “Systems Biology in Practice,” Wiley-VCH, 2005.
|