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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 88 (1996), S. 321-337 
    ISSN: 1573-2878
    Keywords: Guaranteed cost control ; output feedback control ; structured uncertainty ; uncertainty averaging ; H ∞ control
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The paper presents an output feedback optimal guaranteed cost control result for a new class of uncertain linear systems. The cost function considered is a quadratic cost function defined over a finite time interval. The new uncertainty class introduced in the paper involves structured uncertainties which are required to satisfy a certain averaged integral quadratic constraint. The introduction of this new structured uncertainty description enables us to solve a previously unsolved problem of optimal guaranteed cost control via output feedback for an uncertain system with structured uncertainties. The solution is obtained by solving a pair of parametrized Riccati differential equations of the game type.
    Type of Medium: Electronic Resource
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