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  • Bayes' theorem  (1)
  • Keywords: Actinomadura; pravastatin; compactin; nutrition; vitamins  (1)
  • 1
    Electronic Resource
    Electronic Resource
    A chemically-defined medium supporting growth and providing cells converting compactin to pravastatin (1999)
    Springer
    Journal of industrial microbiology and biotechnology 22 (1999), S. 78-79 
    Details
    ISSN: 1476-5535
    Keywords: Keywords: Actinomadura; pravastatin; compactin; nutrition; vitamins
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Actinomadura sp strain 2966, which converts compactin to pravastatin, requires vitamins to support its growth. Addition of folic acid, thiamine and cyanocobalamine allowed growth in chemically-defined medium. Cells grown in a chemically-defined medium were as capable of converting compactin to pravastatin as cells grown in a complex medium.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/sj.jim.2900602
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Regionalization in geology by multivariate classification (1990)
    Springer
    Mathematical geology 22 (1990), S. 573-588 
    Details
    ISSN: 1573-8868
    Keywords: classification ; regionalization ; Bayes' theorem ; geostatistics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The concept of multivariate classification of “geological objects” can be combined with the concept of regionalized variables to yield a procedure for typification of geological objects, such as rock units, well records, or samples. Numerical classification is followed by subdivision of the area of investigation, and culminates in a regionalization or mapping of the classification onto the plane. Regions are subdivisions of the map area which are spatially contiguous and relatively homogeneous in their geological properties. The probability of correct classification of each point within a region as being part of that region can be assessed in terms of Bayesian probability as a space-dependent function. The procedure is applied to subsurface data from western Kansas. The geologic properties used are quantitative variables, and relationships are expressed by Mahalanobis' distances. These functions could be replaced by other metrics if qualitative or binary data derived from geological descriptions or appraisals were included in the analysis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00890505
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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