Data Science Core

核心4项目摘要 数据科学核心 数据科学核心(核心4)的任务是作为计划项目的焦点 研究人员可以利用统计学、生物信息学和信息学的专业知识来完成他们的肺 研究项目。CORE#4成员在应用癌症生物统计学和 生物信息学，将参与所有项目，以帮助调查人员满足其数据科学需求 项目。随着研究的进行，4号核心成员将为完善标准运作作出贡献 针对现场工作实际的程序，整合数据，进行数据质量控制研究，并产生 必要的报告。随着项目产生结果，核心4号将进行分析并协助调查人员 准备演示文稿和手稿。实现全面发展的总目标 专注于肺癌新疗法翻译的研究计划核心#4有以下内容 明确的目标。目标1：提供从项目启动到完成的统计专门知识。酷睿4号将 支持完成项目所需的所有统计分析，包括但不限于： 实验设计(随机化)；幂计算；分子数据的统计关联分析 (代谢组学、转录组学)；以及来自体外和体内模型的数据分析。目标2：提供 为研究项目提供生物信息学分析和支持。使用最先进的生物信息学工具为核心 #4将分析各种类型的高维分子数据，例如通过测序或 不同项目产生的质谱图。目标3：提供数据库和数据集成服务 用于项目和核心。作为目标3的一部分，核心4将开发肺癌数据库(LCDR)以 将与实验相关的所有数据和元数据存储到单个虚拟位置，以便跨项目集成。 总而言之，核心项目4将通过量化的方式为拟议的项目提供价值和科学影响 与确定肺癌代谢易感性的目标一致的专业知识将导致新的 肺癌患者的治疗策略。

CORE 4 PROJECT SUMMARY DATA SCIENCE CORE The mission of the Data Science Core (Core #4) is to serve as the focal point from which Program Project investigators can draw statistical, bioinformatic, and informatics expertise for the completion of their lung research projects. Core #4 members have extensive experience in applied cancer biostatistics and bioinformatics and will be involved in all projects to help investigators with the data science needs of their projects. As studies proceed, Core #4 members will contribute to the refinement of standard operating procedures in response to realities of fieldwork, integrate data, conduct data quality-control studies, and produce necessary reports. As projects yield results, the Core #4 will conduct analyses and assist investigators with the preparation of presentations and manuscripts. To achieve the overarching goal to develop a comprehensive research program focused on the translation of new treatments for lung cancer the Core #4 has the following specific aims. Aim 1: To provide statistical expertise from project initiation through completion. The Core #4 will support all statistical analyses required for the completion of the projects, including but not limited to: experimental design (randomization); power calculation; statistical association analysis of molecular data (metabolomics, transcriptomic); and analysis of data from in vitro and in vivo models. Aim 2: To provide bioinformatics analysis and support for the research projects. Using state of the art bioinformatics tools the Core #4 will analyze various types of high-dimensional, molecular data, such as data generated via sequencing or mass spectrometry resulting from the various projects. Aim 3: To provide database and data integration services for projects and cores. As part of Aim 3, the Core #4 will develop the Lung Cancer Data Repository (LCDR) to storage all data and metadata related to the experiments into a single virtual location for cross-project integration. In summary, the Core #4 will provide value and scientific impact to the proposed projects through quantitative expertise aligned with the goal of determining metabolic vulnerabilities in lung cancer that would lead to new treatment strategies for lung cancer patients.