| Heuristic potency of the minimum spanning tree (MST) method in toxicology. | |
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MedLine Citation:
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PMID: 2737116 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A rapid and manual mathematical method for comparing ecotoxicologic data has been investigated. It uses a classification procedure based on the calculation of chi 2 distances between the different elements of a data matrix. The classification is carried out using a simple graph-theoretical procedure (Kruskal's algorithm), allowing the construction of minimum spanning tree (MST). From an ecotoxicologic data base of 18 bacterial tests carried out on eight heavy metals the construction of the MST is explained in detail. Even if the results obtained are directly dependent on the data set chosen, they illustrate the heuristic potency of the minimum spanning tree method in comparing and estimating the dependence between environmental data. |
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Authors:
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J Devillers; J C Dore |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Ecotoxicology and environmental safety Volume: 17 ISSN: 0147-6513 ISO Abbreviation: Ecotoxicol. Environ. Saf. Publication Date: 1989 Apr |
Date Detail:
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Created Date: 1989-08-09 Completed Date: 1989-08-09 Revised Date: 2000-12-18 |
Medline Journal Info:
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Nlm Unique ID: 7805381 Medline TA: Ecotoxicol Environ Saf Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 227-35 Citation Subset: IM |
Affiliation:
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Institut Pasteur de Lyon, France. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Bacteria
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drug effects Environmental Monitoring* Mathematics Metals / toxicity |
| Chemical | |
Reg. No./Substance:
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0/Metals |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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