1 |
Joachims, T. 1999. Advances in Kernel Methods - Support Vector Learning. pp. 169-184, MIT Press. Cambridge, MA USA
|
2 |
Jung, M., W. Park and K. Kim. 2004. Development of integrated system for motif and domain search. Journal of Life Science 14(6), 991-996
과학기술학회마을
DOI
ScienceOn
|
3 |
Jung, M., W. Park and K. Kim. 2004. Development of web-based assistant system for protein-protein interaction and function analysis. Journal of Life Science 14(6), 997-1002
과학기술학회마을
DOI
ScienceOn
|
4 |
Kulp, D, D. Haussler, M.G. Reese and F. H. Eeckman. 1996. A generalized Hidden Markov Model for the recognition of human genes in DNA. Proc Int Conf Intell Syst Mol Biol. 4, 134-42
|
5 |
Perier, R. C., V. Praz, T. Junier, C. Bonnard and P. Bucher . 2000. The Eukaryotic Promoter Database (EPD). Nucleic Acids Research 28, 302-303
DOI
ScienceOn
|
6 |
SVMlight, http://svmlight.joachims.org/
|
7 |
Zhang, Y., C. Chu, Y. Chen, H. Zha and X. Ji. 2006. Splice site prediction using support vector machines with a Bayes kernel. Expert Systems with Applications 30, 73-81
DOI
ScienceOn
|
8 |
http://www.integratedgenomics.com
|
9 |
Fickett, J. W. and A. C. Hatzigeorgiou. 1997. Eukaryotic promoter recognition. Genome Res. 7, 839-844
|
10 |
Fofanov, Y., Y. Luo, C. Katili, J. Wang, Y. Belosludtsev, T. Powdrill, C. Belapurkar, V. Fofanov, T. Li, S. Chumakov and B. Pettitt. 2004. How independent are the appearance of n-mers in different genomes. Bioinformatics 20, 2421-2428
DOI
ScienceOn
|
11 |
Gangal, R. and P. Sharma. 2005. Human pol II promoter prediction: time series descriptors and machine learning. Nucleic Acids Res. 33(4), 1332-1336
DOI
ScienceOn
|
12 |
Gordon, L., A. Chervonenkis, A. Gammerman, I. Shahmuradov and V. Solovyev. 2003. Sequence alignment kernel for recognition of promoter regions. Bioinformatics 19(15), 1964-1971
DOI
ScienceOn
|