M. des Jardins, P. Karp, M. Krummenacker, T. Lee, and C. Ouzounis. Prediction of enzyme classification from protein sequence without the use of sequence similarity. In ISMB '97, 1997. Home/Search Document Not in Database Summary Related Articles Check |
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Knowledge Discovery in Multi-Label Phenotype Data - Clare, King (2001) (8 citations) (Correct)
....which holds the promise of revolutionising biotechnology and medicine. KDD techniques are well suited to extracting this knowledge. Currently most KDD analysis of bioinformatic data has been based on using unsupervised methods e.g. 9, 17, 32] but some has been based on supervised methods [4, 7, 14]. New KDD methods are constantly required to meet the new challenges presented by new forms of bioinformatic data. Perhaps the least analysed form of genomics data is that from phenotype experiments [25, 22, 18] In these experiments specific genes are removed from the cells to form mutant ....
M. des Jardins, P. Karp, M. Krummenacker, T. Lee, and C. Ouzounis. Prediction of enzyme classification from protein sequence without the use of sequence similarity. In ISMB '97, 1997.
The Utility of Different Representations of Protein.. - King, Karwath, Clare, .. (2001) (1 citation) (Correct)
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des Jardins, M., Karp., P.D., Krummenacker, M., Lee, T.J., Ouzounis, C.A. (1997) Prediction of enzyme classification from protein sequence without the use of sequence similarity. In Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology. 93-99.
Genomics and Computational Molecular Biology - Brutlag (1998) (1 citation) (Correct)
No context found.
. des Jardins, M, et al.: Prediction of enzyme classification from protein sequence without the use of sequence similarity. Ismb 1997, 5:92-99.
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