Core D: Computational

核心D：计算 总结/摘要 该U19申请提出了三个研究项目和四个核心共享资源，由以下人员发起和领导： 加州洛杉矶大学（UCLA）和加州旧金山弗朗西斯科的调查人员 （UCSF），围绕绘制实体器官移植中的CMV免疫反应的主题。的 计算核心提供正确分析和网络建模所需的计算专业知识 其他核心和项目生成的数据。将在以下领域提供服务： 高通量分子数据预处理的中央基础设施 用于数据解释和提高预测能力的简化方法。 利用途径分析来解释RNA测序数据。 解释多变量数据和识别预测特征的统计方法。 对淋巴细胞和病毒动力学进行建模，以解释免疫表型数据集。 协助联合会成员的教育和手稿准备。

CORE D: Computational SUMMARY/ABSTRACT This U19 application proposes three research Projects and four Cores for shared resources initiated and led by investigators at the University of California Los Angeles (UCLA) and the University of California San Francisco (UCSF), centered around the theme of mapping CMV immune responses in solid organ transplantation. The Computational Core provides computational expertise required for the proper analysis and network modelling of data generated by other Cores and Projects. Services will be provided in the following areas:  Central infrastructure for data preprocessing of high throughput molecular data  Dimensionality reduction methodologies for data interpretation and increasing predictive power.  Leverage pathway analysis to interpret RNA sequencing data.  Statistical methodologies for interpreting multivariate data and identify predictive features.  Modeling the lymphocyte and viral dynamics to interpret immune-phenotyping datasets.  Assistance with education of consortium members and manuscript preparation.