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Akademický článek

Game Analysis on the Evolution of Elderly Service Regulation in the Context of Aging Society

Autor: Wang Wei, Li Tongbin, Yan Yu

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

In the contemporary era of increasing population aging, improving the service quality of senior care institutions and optimizing the regulatory behavior of multiple subjects has become a hot topic in society nowadays. Based on the welfare plurality t

Externí odkaz: https://doaj.org/article/857a58d3772348648aa96c8a1ebda7a5

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Akademický článek

Optimization of Nursing Care Resource Allocation in an Aging Population Based on Combinatorial Optimization Algorithm

Autor: Wang Wei, Li Tongbin

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

This paper first considers population aging as a breakthrough, analyzes the demand for long-term care due to population aging, and classifies the models and characteristics of long-term care. Secondly, the combinatorial optimization algorithm and its

Externí odkaz: https://doaj.org/article/8eaaa422a7d44acea740c8a2591efd79

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Akademický článek

A PATO-compliant zebrafish screening database (MODB): management of morpholino knockdown screen information

Autor: Bill Brent R, Ren Yongliang, Li Tongbin, Knowlton Michelle N, Ellis Lynda BM, Ekker Stephen C

Publikováno v: BMC Bioinformatics, Vol 9, Iss 1, p 7 (2008)

Abstract Background The zebrafish is a powerful model vertebrate amenable to high throughput in vivo genetic analyses. Examples include reverse genetic screens using morpholino knockdown, expression-based screening using enhancer trapping and forward

Externí odkaz: https://doaj.org/article/986b0330bdc8413b915d28f45c2618c1

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Akademický článek

Integrated siRNA design based on surveying of features associated with high RNAi effectiveness

Autor: Lin Dong, Wang Yejun, Xu Qiqi, Ren Yongliang, Gong Wuming, Zhou Haiyan, Li Tongbin

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 516 (2006)

Abstract Background Short interfering RNAs have allowed the development of clean and easily regulated methods for disruption of gene expression. However, while these methods continue to grow in popularity, designing effective siRNA experiments can be

Externí odkaz: https://doaj.org/article/6e45dfce030340c58167ae0aa7e0b9af

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Akademický článek

SVRMHC prediction server for MHC-binding peptides

Autor: Ren Yongliang, Xu Qiqi, Liu Wen, Wan Ji, Flower Darren R, Li Tongbin

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 463 (2006)

Abstract Background The binding between antigenic peptides (epitopes) and the MHC molecule is a key step in the cellular immune response. Accurate in silico prediction of epitope-MHC binding affinity can greatly expedite epitope screening by reducing

Externí odkaz: https://doaj.org/article/cedfa58caa804d3991659c318c3c97ec

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Akademický článek

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

Autor: Flower Darren R, Xu Qiqi, Meng Xiangshan, Liu Wen, Li Tongbin

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 182 (2006)

Abstract Background The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has l

Externí odkaz: https://doaj.org/article/e7961ea9176c49a7b27c64bd06a2d0b5

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