Computational Modeling Core

摘要/摘要 计算和预测建模核心(CPM)将提供最先进的机器学习和 数据集成方法，支持数据的分析、解释和预测性建模 在其他核心和项目中创建。为了实现这一目标，核心将：(I)开发新的计算 具有多尺度理解的生理过程预测建模框架 (2)调整和结合现有的分析技术，以便在拟议的研究中使用；(3)工作 与其他调查人员密切合作，应用并解释在建议期间得出的分析结果 学习。核心的新方法开发和建模应用程序的一个特别重点将是 跨三个维度的多组数据集成：分子图谱技术之间、队列之间 研究，以及实验模型和人类感染之间的关系。这些活动将在近距离进行 与每个项目的合作，证明核心参与了提案的几乎每一个目标。

SUMMARY/ABSTRACT The Computational & Predictive Modeling Core (CPM) will provide state-of-the-art machine learning and data integration methodologies to enable the analysis, interpretation, and predictive modeling of the data created within the other Cores and Projects. To accomplish this, the Core will: (i) develop novel computational modeling frameworks towards predictive modeling of physiological processes with a multi-scale understanding of outcomes, (ii) adapt and combine existing analysis techniques for use in the proposed studies, and (iii) work closely with the other investigators to apply and then interpret the analysis results derived during the proposed studies. A particular focus of the Core’s new methodologic development and modeling applications will be multi-omic data integration across three dimensions: between molecular profiling technologies, across cohort studies, and between experimental models and human infection. These activities will occur in close collaboration with each Project, as evidenced by the Core’s involvement in nearly every Aim of the proposal.