A curated multivariate approach to study efficacy and optimisation of a prototype vaccine against teladorsagiasis in sheep.
A curated multivariate approach to study efficacy and optimisation of a prototype vaccine against teladorsagiasis in sheep.
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DOI：
10.1007/s11259-023-10208-9
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发表时间：
2024-02
影响因子：
2.2
通讯作者：
Nisbet, Alasdair J.
中科院分区：
文献类型：
--
作者：
Palarea-Albaladejo, Javier;McNeilly, Tom N.;Nisbet, Alasdair J.
这项工作讨论和展示了多变量分析和数据降维技术的新用途，以处理在开发保护绵羊免受环状线虫感染的原型疫苗的有效性试验中产生的各种和复杂的数据。数据降维和可视化技术的精心策划的集合，与明确建模数据关键特征的合理统计建模和测试相结合，提供了所测量的多个生物参数之间的关系的综合视图。对涉及抗原特异性抗体水平、抗体亲和力和疗效的寄生虫学参数的模式和关联获得了新的生物学见解，这是该领域的标准统计实践无法实现的。因此，这种方法可以通过识别最具免疫相关性的抗原来指导疫苗的提纯和简化，并可以类似地在其他领域的类似研究中实施。为促进这一点，为R开放统计计算系统编写的相关数据和计算机代码免费提供。网上版载有补充材料，可在10.1007/s11259-023-10208-9查阅。
This work discusses and demonstrates the novel use of multivariate analysis and data dimensionality reduction techniques to handle the variety and complexity of data generated in efficacy trials for the development of a prototype vaccine to protect sheep against the Teladorsagia circumcincta nematode. A curated collection of data dimension reduction and visualisation techniques, in conjunction with sensible statistical modelling and testing which explicitly model key features of the data, offers a synthetic view of the relationships between the multiple biological parameters measured. New biological insight is gained into the patterns and associations involving antigen-specific antibody levels, antibody avidity and parasitological parameters of efficacy that is not achievable by standard statistical practice in the field. This approach can therefore be used to guide vaccine refinement and simplification through identifying the most immunologically relevant antigens, and it can be analogously implemented for similar studies in other areas. To facilitate this, the associated data and computer codes written for the R open system for statistical computing are made freely available. The online version contains supplementary material available at 10.1007/s11259-023-10208-9.
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影响因子：
4.8
作者：
Makarenkov, V;Legendre, P
通讯作者：
Legendre, P
影响因子：
6.4
作者：
Mayer, B;Zolnai, A;Kacskovics, I
通讯作者：
Kacskovics, I
影响因子：
4
作者：
Nisbet, Alasdair J.;McNeilly, Tom N.;Matthews, Jacqueline B.
通讯作者：
Matthews, Jacqueline B.
影响因子：
2.7
作者：
BOX, GEP
通讯作者：
BOX, GEP
DOI：
10.1002/wics.1246
发表时间：
2013-03-01
影响因子：
3.2
作者：
Abdi, Herve;Williams, Lynne J.;Valentin, Domininique
通讯作者：
Valentin, Domininique