BONSAI Garden: parallel knowledge discovery system for amino acid sequences.

T. Shoudai, M. Lappe, S. Miyano, A. Shinohara, T. Okazaki, S. Arikawa, T. Uchida, S. Shimozono, T. Shinohara, S. Kuhara

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

We have developed a machine discovery system BONSAI 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 are 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.

Original languageEnglish
Pages (from-to)359-366
Number of pages8
JournalProceedings / ... International Conference on Intelligent Systems for Molecular Biology ; ISMB. International Conference on Intelligent Systems for Molecular Biology
Volume3
Publication statusPublished - 1995
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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