Integrating cancer datasets for predictive model development and training

描述(由申请人提供)：我们对SAGE CCSB的建议是“整合癌症数据集以进行预测模型开发和培训”，其中心科学主题是从众多合作者那里为一系列肿瘤类型生成一组概率因果模型。通过选择具有不同临床结果的样本集，得到的SAGE模型将应用于影响癌症生物学、早期干预和癌症治疗。Sage CCSB利用Rosetta/Merck在许多疾病领域的预测模型所做的广泛工作，这些工作已被赠送给一个新的非营利性医学研究组织“Sage Bionnetworks”。Sage CCSB业务模型包含一个核心平台，其中包括精选数据、数学模型和指导博士后实习生/研究员的经验丰富的调查人员。这些数据来自合作者，包括DNA变异数据、RNA表达数据和临床结果。受训者将整理和注释来自至少五个不同肿瘤类型队列的基因型别、中间分子表型和临床终点数据，并开发能够预测潜在新癌症靶点、早期检测标记和临床结果的模型。他们将在其他地点(CCSB)进行外部考察，在那里他们将建立更多的数据模型，并促进互惠的思想交流。受训者将描述工具的规格，以使这些模型的使用更具可扩展性。他们的假设将在弗雷德·哈钦森癌症研究中心和荷兰癌症研究所进行验证。这一博士后计划将在癌症系统生物学方面提供一个独特的培训和指导环境，并促进CCSB和NCI之间的互动。

DESCRIPTION (provided by applicant): Our proposal for a Sage CCSB, "Integrating cancer datasets for predictive model development and training," has as its central scientific theme the generation of a set of probabilistic causal models for a series of tumor types from numerous collaborators. By selecting sample sets with different clinical outcomes, the resultant Sage models will have applications impacting cancer biology, early intervention, and cancer treatments. The Sage CCSB leverages the extensive work done at Rosetta/Merck on predictive models in numerous disease areas, which has been gifted to a new nonprofit medical research organization, "Sage Bionetworks." The Sage CCSB operational model contains a core platform of curated data, mathematical models and experienced investigators mentoring postdoctoral trainees/fellows. The data comes from collaborators and consists of DNA variation data, RNA expression data and clinical outcomes. The trainees will collate and annotate the genotypic, intermediate molecular phenotype, and clinical end point data from at least five different tumor-type cohorts and develop models that can predict potential new cancer targets, markers for early detection, and clinical outcomes. They will do externships at other sites (CCSBs), where they will build additional models of their data and facilitate reciprocal exchange of ideas. The trainees will delineate specifications for tools that will make the access to these models more scalable. Validation of their hypotheses will be performed at the Fred Hutchinson Cancer Research Center and the Netherlands Cancer Institute. This post-doctoral program will provide a unique training and mentorship environment in cancer systems biology and facilitate interactions between CCSBs and NCI.