Core 2: Biostatistics and Bioinformatics

核心2：生物统计学和生物信息学-摘要/摘要 德克萨斯大学MD安德森癌症中心SPORE在肝细胞癌中的主要目标 (HCC)是通过阐明潜在的分子机制， 机制，表征新的生物标志物和功能途径，并利用新的目标， 治疗这是一项合作努力，将通过整合实验室和 翻译研究生物统计学和生物信息学核心将满足规划和 进行SPORE的研究。基于提供生物统计和 计算支持转化研究，核心2将是一个全面的，多方面的资源， 设计临床和基础科学实验，进行统计分析，开发创新 统计方法，并发表从这个HCC SPORE产生的研究结果。核心2将 为临床试验和其他实验的设计和实施提供指导 对SPORE的研究，包括SPORE项目、发展和职业提升项目，以及 其他核心核心2还将提供生物统计学和生物信息学建模，模拟技术和数据 项目和其他核心为实现其特定目标所需的分析。核心2将生成统计 所有项目的报告，将协助项目研究人员发表科学成果，并将开发创新的 与翻译HCC研究相关的统计学和生物信息学方法，包括新的无监督 生物标志物签名构建的方法。

Core 2: Biostatistics and Bioinformatics - SUMMARY/ ABSTRACT The primary goal of the University of Texas MD Anderson Cancer Center SPORE in Hepatocellular Carcinoma (HCC) is to facilitate innovative translational research through the elucidation of underlying molecular mechanisms, characterizing novel biomarkers and functional pathways, and exploiting novel targets for treatment. This is a collaborative effort that will accomplish these aims by integrating laboratory and translational research. The Biostatistics and Bioinformatics Core will serve multiple needs for the planning and conduct of the SPORE's research. Based on a strong track record for providing biostatistical and computational support for translational research, Core 2 will be a comprehensive, multi-lateral resource for designing clinical and basic science experiments, performing statistical analyses, developing innovative statistical methodology, and publishing the research results generated from this HCC SPORE. Core 2 will provide guidance in the design and conduct of clinical trials and other experiments arising from the ongoing research of the SPORE, including SPORE projects, Developmental and Career Enhancement projects, and other cores. Core 2 will also provide biostatistical and bioinformatic modeling, simulation techniques and data analyses needed by the Projects and other Cores to achieve their Specific Aims. Core 2 will generate statistical reports for all projects, will assist project investigators to publish scientific results and will develop innovative statistical and bioinformatics methods pertinent to translational HCC studies including new unsupervised approaches to biomarker signature construction.