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Clonal selection theory and Clonalg: the clonal selection classification algorithm (CSCA)

The vertebrate immune system is a robust and powerful information process system that demonstrates features such as distributed control, parallel processing and adaptation and learning via experience. Artificial Immune Systems (AIS) are machine-learning algorithms that embody some of the principles and attempt to take advantages of the benefits of ...
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Clonal selection in ‘Uzunmusa’ hazelnut

Plant Breeding, 2003
AbstractClonal selection was practised in ‘Uzunmusa’ hazelnut over the past 3 years (1999‐2001) to select the highest quality types. Based on an initial assessment of a total of 102 types, 45 were selected for further study. The best types were selection numbers (SN) 397 and 570.
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The Clonal-Selection Theory

Scientific American, 1987
G L, Ada, G, Nossal
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Clonal expansion of innate and adaptive lymphocytes

Nature Reviews Immunology, 2020
Nicholas M Adams   +2 more
exaly  

Realizing elementary clonal selection algorithms

A series of acquired immunity inspired clonal selection models have previously been proposed that includes principle model components and base (single repertoire) models. Also previously proposed is a contrived problem domain called ‘colour space’ and a number of scenarios intended for the investigation of adaptive models.
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A spatial clonal selection algorithm

The clonal selection principle describes the selection and maturation of lymphocytes, accounting for the diversity of the antibodies they produce and the tolerance they have to selfantigens. The theory does not exist in isolation, the receptors, the host, and the antigens have a context that is commonly ignored when this principle is realised as a ...
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