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Core D: Computational

核心 D：计算

基本信息

批准号：
10225362
负责人：
Alexander Hoffmann
金额：
$ 12.47万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10225362
关键词：
Area Biological Markers Biometry California Cells Clinical Collaborations Computer Models Core Facility Custom Cytomegalovirus Data Data Analyses Data Set Development Dimensions Discriminant Analysis Education Gene Expression Immune Immune response Infectious Agent Infrastructure Kidney Transplantation Los Angeles Lymphocyte Manuscripts Maps Measurement Measures Methodology Modeling Molecular Natural Killer Cells Organ Transplantation Outcome Pathway Analysis Pathway interactions Pattern Phase Phenotype Physiological Processes Population Preparation Primary Infection Proteomics Quality Control Research Research Personnel Research Project Grants Resource Sharing Risk San Francisco Services Signal Pathway Solid Statistical Models Training and Education Transplant Recipients Universities Viral Virus data infrastructure data management data modeling diverse data kinetic model member multidimensional data network models next generation sequencing pathogen predictive marker predictive modeling tool transcriptome sequencing

项目摘要

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.

核心D：计算型摘要/摘要这份U19申请提出了三个研究项目和四个共享资源核心，由加州大学洛杉矶分校(UCLA)和加州大学旧金山分校的调查人员 (加州大学旧金山分校)，围绕绘制实体器官移植中CMV免疫反应的主题。这个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产生的数据。我们将在以下方面提供服务：用于高通量分子数据数据预处理的中央基础设施用于数据解释和提高预测能力的降维方法。 利用通路分析来解释核糖核酸测序数据。用于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。 协助联盟成员的教育和手稿准备。