Research Program: Biostatistics and Computational Biology

生物统计学与计算生物学 生物统计学和计算生物学计划进行定量和计算研究， 与理解癌症相关问题相关的各种领域。课程兴趣涵盖一系列 活动，从定量或实验方法的技术开发到 强调流行病学的实质性研究项目， 实验方法和计算方法。项目优势包括开发 用于个性化医疗和分子诊断的严格统计和数学方法， 了解适应性免疫反应的分子生物学，以及方法的发展 解决癌症研究中的高影响力机会-包括复杂的分析方法 关联研究和纵向数据，以及表征 人类基因组、转录组和蛋白质组在数量、序列和结构上的变异。的 项目成员也有领导活动，影响癌症研究在国家一级，包括 U 01的数量，各种统计协调中心-西南肿瘤组（SWOG）， 国家Wilms肿瘤研究，妇女健康倡议（WHI），艾滋病毒/艾滋病统计中心 研究与预防（SCHARP）和早期发现研究网络（EDRN）-以及 多种广泛采用的计算平台。 该计划的目标是（i）制定严格的统计和数学方法， 和个性化医疗;（ii）开发和使用实验，技术和伴侣计算 或数学方法，以了解癌症的自然史;及（iii）促进 癌症研究中统计和计算方法的开发、传播和使用。 生物统计学和计算生物学计划有42名成员，其中93%有外部资金或 是新的教师，在两个机构，三所学校和七个部门。成员发表了一份 在上一个资助期内共发表了813篇论文。项目成员高度合作，并定期工作 与流行病学，临床和实验室研究人员在其他计划，以支持翻译 我们在CCSG的专业知识-我们的手稿的54%是跨计划，10%是内部， 19%是机构间的。我们的成员成功地获得了资金， 他们的研究计划。同行评审资金（直接）为1090万美元，其中540万美元来自NCI，包括 许多单一研究者R 01，几个U 01，一个长期的P01，各种其他同行评审的赠款或 奖学金和大型合作工作组。

Biostatistics and Computational Biology Program The Biostatistics and Computational Biology Program carries out quantitative and computational research in a variety of areas relevant to understanding issues related to cancer. Program interests span a range of activities, from the technical development of quantitative or experimental methodologies to activities that emphasize substantive research programs in epidemiology, to biological research programs that use experimental approaches alongside computational methods. Program strengths include the development of rigorous statistical and mathematical methods for personalized medicine and molecular diagnostics, understanding the molecular biology of the adaptive immune response, and the development of approaches that address high impact opportunities in cancer research - including methods for the analysis of complex association studies and longitudinal data, and experimental/ computational methods that characterize variations in quantity, sequence, and structure of the human genome, transcriptome, and proteome. The program members also have leadership activities that impact cancer research at a national level, including a number of U01s, a variety of statistical coordinating centers -- the Southwest Oncology Group (SWOG), the National Wilms Tumor Study, the Women's Health Initiative (WHI), the Statistical Centers for the HIV/AIDS Research & Prevention (SCHARP), and the Early Detection Research Network (EDRN) - and the leadership of multiple widely adopted computing platforms. The goals of the program are (i) to develop rigorous statistical and mathematical methods relevant to predictive and personalized medicine; (ii) to develop and use experimental, technological, and companion computational or mathematical methods to gain understanding of the natural history of cancer; and (iii) to promote development, dissemination and use of statistical and computational methods in cancer research. The Biostatistics and Computational Biology Program has 42 members, 93% of whom have external funding or are new faculty members, across two institutions, three schools and seven departments. Members published a total of 813 papers in the previous grant period. Program members are highly collaborative and routinely work with epidemiological, clinical, and laboratory-based researchers in other programs to support the translation of our expertise across the CCSG - 54% of our manuscripts were inter-programmatic, 10% were intra- programmatic, and 19% inter-institutional . Our members have been successful in obtaining funding to support their research programs. Peer reviewed funding (direct) is $10.9M of which $5.4M is from NCI, and includes many single-investigator R01s, several U01s, a longstanding P01, a variety of other peer reviewed grants or fellowships, and large-scale collaborative working groups.