Is T Cell Negative Selection a Learning Algorithm?
نویسندگان
چکیده
منابع مشابه
Thymic T-Cell Education: Positive & Negative Selection
TOLERANCE (which is antigen-specific) must be distinguished from immune deficiency (non-specific). Its most important manifestation, the maintenance of SELFTOLERANCE, was originally explained by the Clonal Selection theory as the result of CLONAL ABORTION of self-reactive clones. However, potentially self-reactive Tand B-cells do exist in normal individuals, leading to the recognition of the im...
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Negative selection algorithms generate their detector sets based on the points of self data. In the approach described in this paper, the continuous self region is defined by the collection of self data. This has important differences from the negative selection algorithms that simply take each self point and its vicinity as the self region: when the training self points are used together as a ...
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This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it can produce a good estimate of the optimal number of detectors needed to cover the non-self space, and the maximization of the non-self coverage is done through an optimization algorithm with proven convergence propert...
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Background: MicroRNA-155 (miR-155) is upregulated during T cell activation, but the exact mechanisms by which it influences CD4+ T cell activation remain unclear. Objective: To examine whether the B and T lymphocyte attenuator (BTLA) is a target of miR-155 during naïve CD4+ T cell activation. Methods: Firefly luciferase reporter plasmids pEZX-MT01-wild-type-BTLA and pEZX-MT01-mutant-BTLA were ...
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ژورنال
عنوان ژورنال: Cells
سال: 2020
ISSN: 2073-4409
DOI: 10.3390/cells9030690