Integrative Data Analytics Core - Core D

密歇根州综合肌肉骨骼健康核心中心-核心D 项目摘要 肌肉骨骼疾病的诊断和治疗是复杂的，最好由多学科团队来完成 并通过分析来自各种复杂来源的数据。高通量“组学”技术的进展 结合大量的影像和临床数据，创造了前所未有的机会，更好地 了解肌肉骨骼疾病，改善患者预后，并向临床揭示隐藏的信息 和临床前数据，通过应用综合计算技术。然而，设计综合模型 而计算方法具有挑战性，需要组学、成像和数据分析方面的专业知识。这个 密歇根综合肌肉骨骼健康核心中心的综合数据分析核心(核心D) (MiMHC)将在一个综合平台上提供数据分析方面的专业知识，并促进新的机会 MiMHC调查人员通过提供获得计算方法方面的专业知识的途径。这个核心将由一个 组学、成像和机器学习方法方面的多学科专家团队。核心D将提供 数据分析方面的专业知识和科学指导，并帮助调查人员规划强大的随机区组 研究设计，解释结果，并为未来的研究提供建议。核心领导层将提出建议 将调查人员集中在分析数据的最佳工具和方法上，并提供开发可靠的 以及使用统计和机器学习技术进行验证的系统。核心服务还将包括 如果中心调查人员不具备专业知识，则执行要求的数据分析任务。因此，核心 服务和建议将涵盖整个项目，从创意初创到数据收集和管理 指导，以及经过验证的综合数据分析模型和解释。这种方法形成了统一的 跨不同实验室规划、执行和解释综合研究的模型，从而实现 调查人员了解数据分析模型及其数据和模型输出之间的联系 而不是仅仅采用“黑匣子”的方法。因此，这个核心将加速科学并产生新的 通过使个人研究人员和更广泛的团队能够发现数据中的重要参数来实现假设 以及这些参数如何与研究结果相关联。创新计划包括综合实施 使用来自不同实验室和物种的输入数据进行跨组学、成像和临床模式的分析， 从而创建了一个横跨中心调查人员的新颖、统一的肌肉骨骼特征图谱。这个核心 将通过开发新的数据分析工具和设计新的计算机辅助决策支持而产生影响 旨在了解肌肉骨骼疾病机制的系统。

Michigan Integrative Musculoskeletal Health Core Center – Core D Project Summary Diagnosis and management of musculoskeletal disorders is complex and best done with multidisciplinary teams and by analyzing data from a variety of complex sources. Advances in high-throughput ‘-omics’ technologies combined with large volumes of imaging and clinical data have created an unprecedented opportunity to better understand musculoskeletal disorders, improve patient outcomes, and reveal hidden information from clinical and pre-clinical data by applying integrative computational techniques. However, designing integrative models and computational approaches is challenging and requires expertise in omics, imaging and data analysis. The Integrative Data Analytics Core (Core D) of the Michigan Integrative Musculoskeletal Health Core Center (MiMHC) will provide expertise on data analysis in an integrative platform and promote new opportunities to MiMHC investigators by providing access to expertise in computational approaches. This core will be led by a multidisciplinary team of experts in omics, imaging and machine learning methodologies. Core D will provide expertise and scientific guidance in data analysis and help investigators plan well-powered randomized block study designs, interpret results, and provide recommendations for future studies. Core leadership will advise Center investigators on the best tools and methods for analyzing data and provide expertise in developing robust and validated systems using statistical and machine learning techniques. Core services will also include performing the data analytics task requested if Center investigators do not have the expertise. Thus, core services and advice will span the entire project, from idea inception, to data collection and management guidance, and to validated, integrative data analytics models and interpretation. This approach forms a unified model for planning, executing, and interpreting integrative studies across diverse laboratories, thereby enabling investigators to understand the data analytic models and the connection between their data and model outputs instead of just employing a “black box” approach. Thus, this core will accelerate science and generate new hypotheses by enabling individual investigators and broader teams to discover important parameters in the data and how these parameters are associated with study outcomes. Innovation plans include performing integrative analyses across omics, imaging, and clinical modalities using input data from different laboratories and species, thereby creating a novel, unified atlas of musculoskeletal signatures that spans Center investigators. This core will be impactful by developing new data analytics tools and designing new computer aided decision support systems aimed at understanding mechanisms of musculoskeletal disorders.