Nutrition, Biostatistics and Bioinformatics

描述(由申请人提供)：本延续方案的目标是培训以统计为导向的个人(生物统计学家、统计学家、电气工程师等)。在专注于营养和癌症的多学科环境中发挥独立研究人员的作用。为了实现这一目标，我们组建了一支专门从事生物统计学、生物信息学、基因组信号处理以及营养和癌症生物学的研究团队。我们的基本前提是，通过吸收具有生物学知识的生物统计学家，特别是对营养学家最感兴趣的癌症生物学机制有相当深入了解的生物统计学家，研究营养学和癌症的多学科团队将受益匪浅。这一基本前提得到了我们的观察的补充，即几乎没有理想类型的生物统计学家。我们将继续培养一支以统计为导向的研究人员队伍，他们了解营养与癌症之间的作用机制。这样的理解将使我们的受训人员能够在最高水平上为该领域的实验设计和分析做出贡献，并开发出真正适合实验数据的微调统计方法。通过教学课程、研讨会和研究经验的结合，我们希望我们的学员能够在开发针对营养和癌症实验的统计方法方面做出重要贡献，并在生物学家团队中发挥真正的合作者的作用，而不仅仅是作为设置样本大小和执行简单实验的数据分析的专家。该方案计划旨在：(A)通过课程和研讨会提供与营养和癌症有关的生物学方面的系统培训；(B)提供密集的实验室经验，通过基因组学设施轮流进行初始实验室轮换，然后在人类营养实验室之一进行长期工作，包括参加每周的实验室会议，但更普遍的是成为实验室团队的正式成员；以及(C)在生物统计学或电子工程导师的指导下，结合营养学院的营养师导师，提供指导研究经验。

DESCRIPTION (provided by applicant): The goal of this continuation proposal is to train statistically oriented individuals (Biostatisticians, Statisticians, Electrical Engineers, etc.) to function as independent researchers in a multidisciplinary environment focusing on Nutrition and cancer. To achieve this goal we have assembled a team of researchers specializing in Biostatistics, Bioinformatics, Genomic Signal Processing and the biology of Nutrition and cancer. Our basic premise is that multidisciplinary teams working on Nutrition and cancer will benefit enormously by inclusion of biologically knowledgeable biostatisticians, and especially biostatisticians who are familiar at a fairly deep level with the biological mechanisms of cancer of most interest to nutritionists. This basic premise is supplemented by our observation that there exist few biostatisticians of the desired type. We will continue to create a cadre of statistically oriented researchers who understand the mechanisms of action in the relationship between Nutrition and cancer. Such understanding will allow our trainees to contribute at the highest level to the design and analysis of experiments in the area, and to develop fine-tuned statistical methods truly appropriate for the experimental data. Through a combination of didactic coursework, seminars and research experiences, we expect our trainees to be able to make important contributions in the development of statistical methods targeted to experiments in nutrition and cancer, and to function as a true collaborator in teams of biologists, instead of merely as a specialist in setting sample sizes and performing data analysis of simple experiments. The program plan is designed to (a) provide via courses and seminars systematic training in biology as it relates to nutrition and cancer; (b) provide intensive laboratory experience, with a rotation through a genomics facility, initial laboratory rotations followed by long-term work with one of the Human Nutrition laboratories, including attending weekly laboratory meetings but more generally becoming a full member of the laboratory team; and (c) provide directed research experience with either a biostatistical or electrical engineering mentor in combination with nutritionist mentors from the Faculty of Nutrition.