Results 31 to 40 of about 2,140,466 (170)
Neural network models for sequence-based TCR and HLA association prediction.
PLoS Computational Biology, 2023 T cells rely on their T cell receptors (TCRs) to discern foreign antigens presented by human leukocyte antigen (HLA) proteins. The TCRs of an individual contain a record of this individual's past immune activities, such as immune response to infections ...
Si Liu, Philip Bradley, Wei Sun
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A model of dynamic associative memory
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 A model of dynamic associative memories is proposed. The aim is to find all stored patterns, and to distinguish the stored and the spurious patterns. Aihara (1993) used chaotic neurons and showed that his model has a nonperiodic associative dynamics. In his model, however, it is difficult to distinguish the stored patterns from the others, because the ...
Hideki Kobori +2 more
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Linear models for joint association and linkage QTL mapping
Genetics Selection Evolution, 2009 Background Populational linkage disequilibrium and within-family linkage are commonly used for QTL mapping and marker assisted selection. The combination of both results in more robust and accurate locations of the QTL, but models proposed so far have ...
Fernando Rohan L, Legarra Andrés
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Mice with a diverse human T cell receptor repertoire selected on multiple HLA class I molecules
Nature CommunicationsT cell receptor (TCR) gene therapy is an effective cancer treatment. Ideally, the TCR should be of human origin and have optimal avidity, e.g., isolated from a tumor antigen-non-tolerant host.
Arunraj Dhamodaran +6 more
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Models of brand equity. A systematic and critical review
Cogent Business & ManagementMany methods have been developed since the 1980s to measure Brand Equity (BE). These methods range from theoretical and pragmatic approaches to qualitative methods that determine the rankings of remembrance, emotionality, and valuation based on the ...
María Margarita Gutiérrez Gutiérrez +2 more
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Weighted functional linear regression models for gene-based association analysis.
PLoS ONE, 2018 Functional linear regression models are effectively used in gene-based association analysis of complex traits. These models combine information about individual genetic variants, taking into account their positions and reducing the influence of noise and/
Nadezhda M Belonogova +4 more
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Marine DrugsParkinson’s disease (PD) is the second most prevalent neurodegenerative disorder, yet effective agents for its prevention and therapy remain highly limited.
Haicheng Ye +9 more
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Systematic ReviewsBackground Patient and public involvement (PPI) aims to increase the relevance and impact of research by ensuring that outcomes align with the real needs of those involved.
Caline Jesus +10 more
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Models of a Non-associative Composition
, 2014 Nous caractérisons l'ordre d'évaluation polarisé à travers une structure catégorielle dont l'hypothèse que la composition est associative est relâchée. Duploïde est le nom de la structure, par référence aux algèbres dupliciales de Loday. Le résultat principal est une réflection Adj→Dupl où Dupl est une catégorie des duploïdes et des foncteurs de ...
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Inclusive and Enjoyable Physical Activity for Older Adults: The JOIN4JOY Project
Baltic Journal of Sport and Health SciencesPurpose: Older adults remain the least physically active group in Europe, with barriers such as low socioeconomic status, health limitations, and social exclusion contributing to inactivity.
Erika Karkauskienė +18 more
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