BONSAI Garden: Parallel knowledge discovery system for amino acid sequences
- Kyushu Univ., Fukuoka (Japan); and others
We have developed a machine discovery system BON-SAI which receives positive and negative examples as inputs and produces as a hypothesis a pair of a decision tree over regular patterns and an alphabet indexing. This system has succeeded in discovering reasonable knowledge on transmembrane domain sequences and signal peptide sequences by computer experiments. However, when several kinds of sequences axe mixed in the data, it does not seem reasonable for a single BONSAI system to find a hypothesis of a reasonably small size with high accuracy. For this purpose, we have designed a system BONSAI Garden, in which several BONSAI`s and a program called Gardener run over a network in parallel, to partition the data into some number of classes together with hypotheses explaining these classes accurately.
- Research Organization:
- Stanford Univ., CA (United States)
- OSTI ID:
- 401865
- Report Number(s):
- CONF-9507246-; TRN: 96:005602-0043
- Resource Relation:
- Conference: Intelligent Systems for Molecular Biology (ISMB) conference, Cambridge (United Kingdom), 16-19 Jul 1995; Other Information: PBD: 1995; Related Information: Is Part Of ISMB-95 -- Third international conference on intelligent systems for molecular biology: Proceedings; Rawlings, C.; Clark, D.; Altman, R.; Hunter, L.; Lengauer, T.; Wodak, S. [eds.]; PB: 427 p.
- Country of Publication:
- United States
- Language:
- English
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