Modeling Core

项目摘要-建模核心 病毒系统生物学中心(CViSB)收集和聚合复杂、多维和 不同的数据，导致了在解释这些不同的实验测量方面的挑战。这个 建模核心的主要目标是开发和应用计算和统计方法来阐明 病毒病原体的主要特征以及宿主对感染和疫苗接种的免疫反应。我们的 该方法将使用数据驱动在测量模式内和跨测量模式集成数据 数学工具可以识别重要的宿主和病毒因素，了解病毒的进化和传播， 并预测病人的结果。我们将发布我们的fi代码和工具，支持CViSB以及 社区研究人员对一系列病毒病原体进行类似的分析。 为了实现这些目标并支持CViSB的总体使命，我们有以下四个 目标：(1)使用数据驱动的潜变量模型建立预测疾病结果的模型；(2)开发 方法通过集成异质数据来研究宿主-病原菌的动态；(3)构建 大规模的进化动态分析；(4)将社会、环境和病毒因素整合到 了解病毒变异传播的模型；以及(5)为CViSB和 西斯比奥社区。

Project Summary - Modeling Core The Center for Viral Systems Biology (CViSB) collects and aggregates complex, multidimensional, and heterogeneous data, leading to challenges in interpreting these diverse experimental measurements. The Modeling Core’s primary goal is to develop and apply computational and statistical methods to elucidate key features of viral pathogens as well as host immune responses to infection and vaccination. Our approach will integrate data both within and across measurement modalities using data-driven mathematical tools to identify important host and virus factors, understand virus evolution and spread, and predict patient outcomes. We will disseminate our findings and tools, enabling CViSB as well as community researchers to perform similar analyses for a range of viral pathogens. To accomplish these objectives and support the overall mission of CViSB, we have the following four aims: (1) Build models to predict disease outcomes using data-driven latent variable models; (2) Develop methods to study host-pathogen dynamics by integrating heterogeneous data; (3) Construct methods for large-scale analysis of evolutionary dynamics; (4) Integrate social, environmental, and virus factors into models to understand virus variant spread; and (5) Provide broad analysis support for CViSB and the SysBio community.