Nutrition, Biostatistics and Bioinformatics

描述(申请者提供)：我们的目标是进行统计培训 面向个人(生物统计学家、统计学家、信号处理员、 等)在多学科中发挥独立研究人员的作用 关注营养和癌症的环境。为了实现这一目标，我们有 组建了一支专门研究生物统计学/统计学的研究团队， 生物信息学/生物医学成像和营养与癌症生物学。 我们的基本前提是多学科团队致力于营养和 将生物学知识纳入其中将使癌症受益匪浅 生物统计学家，尤其是熟知 深入了解人们最感兴趣的癌症的生物学机制 营养学家。这一基本前提得到了我们观察到的补充 想要的生物统计学家寥寥无几。我们要打造一支干部队伍 了解作用机制的以统计为导向的研究人员 营养与癌症之间的关系。这样的理解将 允许我们的受训人员在最高级别上为设计和 分析该地区的实验，并制定微调的统计 方法真正适合实验数据。通过组合 授课工作、研讨会和研究经验，我们期待我们的 学员能够为发展做出重要贡献 以营养和癌症实验为目标的统计方法，以及 在生物学家团队中充当真正的合作者，而不仅仅是 在设定样本量和执行简单数据分析方面的专家 实验。该方案计划旨在：(A)通过课程和 与营养和癌症有关的生物学方面的系统培训研讨会， 包括基因芯片图像分析技术；(B)提供定向 与麻省理工学院统计导师的研究经验 统计，营养学学院的营养师导师，以及 生物信息学/生物医学成像导师来自生物医学成像小组 电气工程系；提供密集的实验室 让学员与一种人类营养学密切合作的经验 实验室，包括参加每周的实验室会议，但更多 通常成为实验室团队的正式成员；(D)通过 参加系列研讨会，学员之间的互动和 营养学研究生和博士后研究人员。

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.