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  • 1
    ISSN: 1432-1963
    Keywords: Schlüsselwörter CGH ; Genetische Tumorklassifikation ; Genetisches Grading ; Key words CGH ; Genetic tumor classification ; Genetic grading
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Description / Table of Contents: Summary Comparative genomic hybridization (CGH) is a new method of screening a tumor for genetic changes. The alterations are classified as DNA gains and losses and reveal a characteristic pattern that includes mutations at the chromosomal and subchromosomal levels. Although DNA from fresh-frozen tissue is recommended as the starting material, archival specimens can also be analyzed. Various examples are presented that illustrate the changes that occur in different tumor entities, and preneoplastic lesions, the differentiation of primary tumors from metastases, and the investigation of tumor cell lines that are resistant to cytostatic drugs. These examples emphasize that CGH can extend the possibilities for genetic diagnosis in tumor pathology.
    Notes: Zusammenfassung Die komparative genomische Hybridisierung (CGH) ist eine neue Methode, mit der ein Tumor auf genetische Aberrationen untersucht werden kann. Sie eröffnet die Möglichkeit, einen Überblick über die genetischen Veränderungen eines Tumors zu erlangen. Diese werden als DNA-Gewinne und -Verluste klassifiziert und ergeben ein genetisches Muster, das Alterationen auf chromosomaler und subchromosomaler Ebene erfaßt. Das Ausgangsmaterial sollte vorzugsweise aus frischem Gewebe, kann aber auch aus archiviertem Gewebe stammen. An Beispielen, die sich auf das Auftreten charakteristischer Veränderungen in unterschiedlichen Tumorkollektiven, Tumorfrühstadien, die Zuordnung von Primärtumor und Metastasen und die Analyse von zytostatikasensiblen und -resistenten Tumorzellinien beziehen, soll verdeutlicht werden, daß sich die CGH für eine erweiterte genetische Tumordiagnostik in der Pathologie anbietet.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 94 (1997), S. 241-250 
    ISSN: 1573-2878
    Keywords: Model validation ; fault diagnosis ; state estimation ; uncertain systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 96 (1998), S. 87-107 
    ISSN: 1573-2878
    Keywords: H ∞-optimal control ; nonlinear systems ; uncertain systems ; absolute stabilizability ; structured uncertainty ; nonlinear S-procedure ; discrete-time systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper applies a recent result on nonlinear H ∞-optimal control to give a necessary and sufficient condition for the existence of a state feedback controller which absolutely stabilizes a discrete-time uncertain nonlinear system with structured uncertainty. The class of uncertain systems being considered contain uncertainties which satisfy a certain sum constraint. This sum constraint is a nonlinear discrete-time version of the integral quadratic constraint uncertainty description. The main result is established by using a nonlinear S-procedure result, which enables the robust absolute stabilization problem to be converted into a equivalent nonlinear H∞-optimal control problem.
    Type of Medium: Electronic Resource
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