Research Program: Biostatistics and Computational Biology

生物统计学和计算生物学课程 生物统计学和计算生物学项目在一个 与了解癌症相关问题相关的各种领域。项目兴趣涵盖了一系列 活动，从定量或实验方法的技术开发到 强调流行病学方面的实质性研究计划，以及使用 实验方法和计算方法。计划的优势包括开发 用于个性化医学和分子诊断的严格的统计和数学方法， 了解获得性免疫反应的分子生物学和方法的发展 解决了癌症研究中的高影响机会-包括分析复杂结构的方法 关联研究和纵向数据，以及实验/计算方法，这些方法表征 人类基因组、转录组和蛋白质组在数量、序列和结构上的变化。这个 计划成员也有在国家一级影响癌症研究的领导活动，包括 U01的数量，各种统计协调中心-西南肿瘤学小组(SWOG)， 国家肾母细胞瘤研究、妇女健康倡议、艾滋病毒/艾滋病统计中心 研究与预防(SCHARP)和早期检测研究网络(EDRN)-以及 多个广泛采用的计算平台。 该计划的目标是(I)开发与预测有关的严格的统计和数学方法 和个性化医学；(Ii)开发和使用实验、技术和伴随计算 或数学方法，以了解癌症的自然历史；及(Iii)促进 癌症研究中统计和计算方法的发展、传播和使用。 生物统计和计算生物学计划有42名成员，其中93%有外部资金或 是新的教职员工，分布在两个机构，三个学院和七个系。委员发表了一份 上一次资助期间共收到813篇论文。计划成员具有高度的协作精神和日常工作能力 与流行病学、临床和实验室研究人员一起参与其他计划，以支持将 我们跨CCSG的专业知识-54%的手稿是跨计划的，10%是内部的- 计划性的，以及19%的机构间。我们的成员已经成功地获得了资金来支持 他们的研究项目。同行评审资金(直接)为1090万美元，其中540万美元来自NCI，包括 许多单一调查员R01，几个U01，长期存在的P01，各种其他同行评审的资助或 研究金和大型协作工作组。

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.