Core--Statistical Analysis

核心--统计分析

• 批准号: 7312441
• 负责人: Rita M. CANTOR
• 金额: $ 17.6万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7312441
• 关键词: bioinformatics; biomedical facility; data management; experimental designs; statistics /biometry

The Statistics Core will: 1) Provide advice on research design and statistical and genetic analyses, including sample size and power calculations. 2) Create and manage databases for human population, family, and murine data sets. 3) Conduct statistical analyses of human population, family, and murine data, including univariate and rnultivariate analyses and data transformations and adjustments. 4) Conduct genetic analyses of human population and family data, including: a) two-point and multi-point linkage analyses of quantitative traits and qualitative disease status with genetic markers, and b) family and population based tests of association of disease status and quantitative traits with genetic markers, including SNPs. 5) Conduct analyses of expression array data to quantify gene expression, identify differentially expressed genes, detect global expression signatures, and construct phenotype classifiers based on gene expression profiles. 6) Aid in the interpretation of the results of analyses to identify the next steps in a research plan. 7) Provide advice on experimental design and computer analyses of data generated by murine crosses.

统计核心将： 1)就研究设计、统计和遗传分析提供建议，包括样本量和功效计算。 2)创建和管理人类人口，家庭和鼠类数据集的数据库。 3)对人群、家族和鼠类数据进行统计分析，包括单变量和多变量分析以及数据转换和调整。 4)对人群和家族数据进行遗传分析，包括：a）数量性状和定性疾病状态与遗传标记的两点和多点连锁分析，以及B）疾病状态和数量性状与遗传标记（包括SNP）相关性的基于家族和群体的测试。 5)对表达阵列数据进行分析，以量化基因表达，识别差异表达基因，检测全局表达特征，并基于基因表达谱构建表型分类器。 6)帮助解释分析结果，以确定研究计划的下一步。 7)提供实验设计和计算机分析鼠杂交数据的建议。