Core 3: Biostatistics and Bioinformatics Core

核心3：生物统计学和生物信息学核心

基本信息

批准号：
10380823
负责人：
Ted Gooley
金额：
$ 32.03万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-04 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10380823
关键词：
AIDS Vaccines Achievement Area Attention Bioconductor Bioinformatics Biological Assay Biomedical Research Biometry Biostatistical Methods Biostatistics Shared Resource Clinical Clinical Data Clinical Research Clinical Trials Clinical Trials Design Collaborations Communities Computer Analysis Computer Models Conduct Clinical Trials Core Grant Data Data Analyses Data Collection Data Files Data Management Resources Data Set Database Management Systems Deposition Disease Event Faculty Genomics Human Immune Immune system Immunobiology Immunologics Immunology Immunology procedure Immunotherapy Intervention Linear Models Logistic Regressions Merkel cell carcinoma Methods Observational Study Outcome Postdoctoral Fellow Process Program Research Project Grants Quality Control Reproducibility Research Research Design Research Methodology Research Project Grants Resources Science Scientist Software Tools Solid Neoplasm Specimen Standardization Statistical Data Interpretation System Techniques Technology Testing Time Work analysis pipeline bench to bedside bioinformatics infrastructure clinical trial analysis computerized data processing computerized tools data management data sharing data standards dimensional analysis effective therapy experience experimental study hematopoietic transplantation heterogenous data high dimensionality large scale data member predicting response programs single-cell RNA sequencing software development statistical center task analysis tool vaccine discovery virus genetics

项目摘要

Summary/Abstract: Biostatistics and Bioinformatics Core Key to any successful biomedical research endeavor is a collaborative effort between clinical scientists, bench scientists, and quantitative scientists, The identification of effective treatments for Merkel cell carcinoma will necessitate a robust understanding of the relationships with and interactions between clinical outcomes and the immune system, the MCPyV virus, genetics, and the effect proposed interventions have on the disease entity being studied, With advancing technologies, augmentation of traditional biostatistical methods and research with high-throughput data and associated techniques is a critical component in the achievement of this understanding, Our scientific projects will require and utilize a variety of assays, including high-throughput and multiparametric technologies, along with cutting-edge computational tools and modeling strategies that can be used to analyze and integrate heterogeneous datasets and/or predict responses, Consequently, large-data management and computational analysis will be an integral part of this research program, The efficient design of clinical trials is also an important component in taking any intervention from bench to bedside, The Biostatistics and Bioinformatics Core will serve as the quantitative piece of this collaboration by providing experimental and clinical trial design as well as analysis and interpretation of data from all experiments and clinical trials that are conducted in the program project grant The Core will be organized around the three aims outlined below, Further details on the quantitative/statistical plan associated with each aim of each project can be found below in the Research Plan and in the Research Methods in respective projects.

摘要/摘要：生物统计学和生物信息学核心任何成功的生物医学研究努力的关键是临床科学家，替补席之间的合作努力科学家和定量科学家，对默克尔细胞癌有效治疗的鉴定将需要对临床结局与临床结果之间的关系和相互作用有深入的了解免疫系统，MCPYV病毒，遗传学以及提出的干预措施对疾病的影响通过进步技术，增强传统生物统计学方法的研究实体和使用高通量数据和相关技术的研究是实现的重要组成部分这种理解，我们的科学项目将需要并使用各种测定法，包括高通量和多参数技术，以及尖端的计算工具和建模策略可用于分析和整合异质数据集和/或预测响应，因此，大数据管理和计算分析将是该研究计划不可或缺的一部分临床试验的设计也是从长凳到床边进行任何干预的重要组成部分，生物统计学和生物信息学核心将通过提供这项合作的定量作用实验和临床试验设计以及所有实验的数据分析和解释计划项目赠款中进行的临床试验将围绕这三个目标组织下面概述，有关每个项目的每个目标相关的定量/统计计划的更多详细信息可以请在下面的研究计划和各个项目的研究方法中找到。