clonal selection theory

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clonal selection theory

[¦klōn·əl si′lek·shən ‚thē·ə·rē]
(immunology)
Theory to explain the specificity of the adaptive immune response according to which there is a large pool of lymphocytes, each having genetically predetermined specificity for only one of a vast array of possible antigens. Upon encountering an antigen, the lymphocytes sensitive to it reproduce much more rapidly than the others, thus leading to a build-up of antigen-specific cells large enough to mount the response.
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In this study, Clonal Selection Algorithm, based on the clonal selection process of the immune system, is applied to optimization of site layouts.
The steps of artificial clonal selection are presented in Fig.
Three algorithms are compared: simple immune algorithm of clonal selection, genetic algorithm, and modified immune algorithm for the determination of the schedule for aeronautical system upgrade tasks.
The clonal selection algorithm (CSA) is a special kind of immune algorithms using the clonal expansion and the affinity maturation as the main forces of the evolutionary process.
The basis for the clonal selection algorithm is the natural B-cell mechanism (Sabine, 2007).
provided some insights into the development of self-nonself identity within the immune system, and a convincing confirmation of the clonal selection theory.
According to [11] the main models of Artificial Immune System are: Negative Selection, Clonal Selection and Immune Network Models.
Clonal selection is thus a valuable tool for teaching the mechanism of natural selection without engaging all the cultural imagery (and politics) of evolution.
Specific formulations will be provided for different aspects of passaging and clonal selection of mammalian ES cells.
The progressive American owners of Castello Banfi have spread new ideas regarding clonal selection and vinification techniques.
Such an assay will open up many research opportunities aimed at guiding clinical decisions and studying clonal selection in vivo.
Cancer is a process of clonal selection, and analytical methods from evolutionary biology should be able to explain why cancer tissues are heterogeneous and develop resistance to current therapies.