Biostatistics and Bioinformatics Core

生物统计学和生物信息学核心

• 批准号: 10006200
• 负责人: Ying Yuan
• 金额: $ 19.41万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10006200
• 关键词: Address; Algorithms; Animal Model; Bioconductor; Bioinformatics; Biological Markers; Biometry; Biostatistics Core; Cancer Center; Cell Line; Clinical; Clinical Data; Clinical Research; Clinical Trials; Code; Computer software; Data; Data Analyses; Data Management Resources; Database Management Systems; Databases; Development; Endometrial; Endometrial Carcinoma; Ensure; Environment; Epidemiology; Experimental Designs; Funding; Gene Expression Profiling; Genomics; Gynecologic; Human Resources; Intuition; Laboratories; Laboratory Study; Libraries; Manuscripts; Measures; Methodology; Methods; Online Systems; Pathology; Phase; Protein Array; Proteomics; Publications; Publishing; Quality Control; Reporting; Research; Research Personnel; Research Project Grants; Resources; Sample Size; Services; Statistical Data Interpretation; Statistical Methods; Testing; Uterine Cancer; Work; base; bioinformatics resource; career; career development; clinical trial analysis; data management; design; electronic data; experience; experimental study; genome analysis; genomic data; high dimensionality; laboratory experiment; meetings; member; next generation sequencing; novel; open source; pre-clinical; preclinical study; programs; sound; tool; web-accessible

Biostatistics and Bioinformatics Core SUMMARY/ABSTRACT The Biostatistics and Bioinformatics Core for the Endometrial Cancer SPORE program will support the Projects, and assist the other Cores, in the design and interpretation of clinical and preclinical experiments, and the acquisition and management of data. Core services will be critical for the clinical trials of the Projects, and their use of high-dimensional methodologies of gene expression profiling (GEP), next-generation sequencing (NGS) and Reverse Phase Protein Arrays (RPPAs). The Core will incorporate sound experimental design principles within each Project, specific to the scientific issues being addressed. Each Project will be provided with tailored analyses, accompanied by appropriate and sometimes novel biostatistical or bioinformatics methods. Core leaders will work with Project investigators to identify quantitative measures that can be used to test study hypotheses, including determining sample sizes to ensure sufficient power for the studies. The leaders of the Core will confer regularly with Project investigators to discuss the design and conduct of research projects, evaluate results of analyses, discuss potential new research initiatives and directions within the SPORE, and promote publication of findings. Interactions between the Core and Projects, as well as other integration, will be facilitated by a web-accessible database of relevant information generated by each Project, to be developed and maintained by the Core. The main objectives of the Biostatistics and Bioinformatics Core are to: 1. Provide biostatistics and bioinformatics expertise in the design and conduct of laboratory experiments and clinical trials arising from the research proposed in this application. 2. Provide biostatistics and bioinformatics analysis and interpretation of all data collected under the SPORE Projects, Career Enhancement Program Projects, Developmental Projects, and other Cores. 3. Collaborate and assist all project investigators with the publication of scientific results. 4. Develop and maintain a web-accessible, SPORE-specific database of relevant information for all Projects.

生物统计学和生物信息学核心摘要/摘要 子宫内膜癌 SPORE 计划的生物统计学和生物信息学核心将支持 项目并协助其他核心设计和解释临床和临床前实验， 以及数据的获取和管理。核心服务对于项目的临床试验至关重要， 以及他们对基因表达谱（GEP）的高维方法的使用，下一代 测序 (NGS) 和反相蛋白阵列 (RPPA)。核心将包含声音实验 每个项目中的设计原则，具体针对正在解决的科学问题。每个项目将 提供量身定制的分析，并附有适当的、有时是新颖的生物统计或 生物信息学方法。核心领导者将与项目调查人员合作，确定量化措施， 可用于测试研究假设，包括确定样本大小以确保有足够的功效 研究。核心领导者将定期与项目研究人员会面，讨论设计和 开展研究项目，评估分析结果，讨论潜在的新研究计划以及 SPORE 内的指导，并促进研究结果的发表。核心和项目之间的相互作用， 以及其他整合，将通过可通过网络访问的相关信息数据库来促进 由每个项目，由核心开发和维护。 生物统计学和生物信息学核心的主要目标是： 1. 提供设计和进行实验室实验的生物统计学和生物信息学专业知识 由本申请中提出的研究产生的临床试验。 2. 对 SPORE 下收集的所有数据进行生物统计学和生物信息学分析和解释 项目、职业提升计划项目、发展项目和其他核心。 3. 协作并协助所有项目研究者发表科学成果。 4. 开发和维护一个可通过网络访问的 SPORE 特定数据库，其中包含所有项目的相关信息。