Nutrition, Biostatistics and Bioinformatics

描述（由申请人提供）：我们的目标是统计培训 面向个人（生物统计学家，统计学家，信号处理器， 等等）。作为独立的研究人员在多学科 关注营养与癌症。 为了实现这一目标，我们 组建了一个专门从事生物统计学/统计学的研究人员团队， 生物信息学/生物医学成像和营养与癌症的生物学。 我们的基本前提是，从事营养和 癌症将极大地受益于包括生物知识， 生物统计学家，尤其是那些熟悉 最感兴趣的癌症的生物学机制， 营养学家 我们的观察补充了这一基本前提， 所需类型的生物统计学家很少。 我们将创建一个干部 统计导向的研究人员谁了解的作用机制， 营养与癌症的关系。 这种理解将 让我们的学员能够为设计做出最高水平的贡献， 分析该地区的实验，并制定微调统计 真正适合实验数据的方法。 通过结合 教学课程的工作，研讨会和研究经验，我们希望我们的 学员能够作出重要贡献的发展， 针对营养和癌症实验的统计方法，以及 作为生物学家团队中真正的合作者，而不仅仅是一个 专家在设置样本大小和执行简单的数据分析 实验 该计划旨在：（a）通过课程提供， 研讨会系统的生物学培训，因为它涉及营养和癌症， 包括cDNA微阵列图像分析技术;（B）提供定向 与系统计导师的研究经验 统计学，营养学院的营养学家导师， 来自生物医学成像组的生物信息学/生物医学成像导师， 电气工程系; 提供密集的实验室 通过让学员与人类营养学之一密切合作， 实验室，包括参加每周的实验室会议，但更多 一般成为实验室团队的正式成员;（d）通过 参加系列研讨会，学员之间以及 研究生和博士后研究人员在营养。

DESCRIPTION (provided by applicant): Our goal is to train statistically oriented individuals (Biostatisticians, Statisticians, Signal Processors, etc.) to function as independent researchers in a multi disciplinary environment focusing on Nutrition and cancer. To achieve this goal we have assembled a team of researchers specializing in Biostatistics/Statistics, Bioinformatics/Biomedical Imaging 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 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 course work, 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, including cDNA microarray image analysis technology; (b) provide directed research experience with statistical mentors from the Department of Statistics, nutritionist mentors from the Faculty of Nutrition, and bioinformatics/biomedical imaging mentors from the Biomedical Imaging group in the Department of Electrical Engineering; provide intensive laboratory experience by having the trainees work closely with one of the Human Nutrition laboratories, including attending weekly laboratory meetings but more generally becoming a full member of the laboratory team; (d) promote, through participation in seminar series, interaction among the trainees and among graduate students and postdoctoral researchers in nutrition.