| Protein sequencing experiment planning using analogy. | |
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MedLine Citation:
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PMID: 7584339 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Experiment design and execution is a central activity in the natural sciences. The SeqER system provides a general architecture for the integration of automated planning techniques with a variety of domain knowledge in order to plan scientific experiments. These planning techniques include rule-based methods and, especially, the use of derivational analogy. Derivational analogy allows planning experience, captured as cases, to be reused. Analogy also allows the system to function in the absence of strong domain knowledge. Cases are efficiently and flexibly retrieved from a large casebase using massively parallel methods. The SeqER system is initially configured to plan protein sequencing experiments. Planning is interleaved with experiment execution, simulated using the SequenceIt program. SeqER interacts with a human user who analyzes the data generated by laboratory procedures and supplies SeqER with new hypotheses. SeqER is a vehicle in which to test theories about how scientists reason about experimental design. |
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Authors:
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B Kettler; L Darden |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Proceedings / ... International Conference on Intelligent Systems for Molecular Biology ; ISMB. International Conference on Intelligent Systems for Molecular Biology Volume: 1 ISSN: 1553-0833 ISO Abbreviation: Proc Int Conf Intell Syst Mol Biol Publication Date: 1993 |
Date Detail:
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Created Date: 1995-12-05 Completed Date: 1995-12-05 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9509125 Medline TA: Proc Int Conf Intell Syst Mol Biol Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 216-24 Citation Subset: IM |
Affiliation:
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Dept. of Computer Science, University of Maryland, College Park 20742, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Decision Making, Computer-Assisted Models, Theoretical Proteins / chemistry* Research Design* Sequence Analysis / methods*, trends Software* |
| Chemical | |
Reg. No./Substance:
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0/Proteins |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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