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首页> 外文期刊>Studies in Health Technology and Informatics >Integrating clinical, gene expression, protein expression and preanalytical data for in silico cancer research
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Integrating clinical, gene expression, protein expression and preanalytical data for in silico cancer research

机译:整合临床,基因表达,蛋白质表达和分析前数据,用于计算机癌症研究

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摘要

We present the phase I development of an integrative platform for the analysis of clinical, gene expression, protein expression and pre-analytical data. The platform is aimed at providing transparent access and analysis tools to researchers investigating new biomarkers and prognosis factors in the particular field of lymphoma diseases. In this article, we report on the data integration phase. The platform's principal advantage is its completeness as it integrates in a single environment clinical, genomic and proteomic data, allowing for their combined analysis. The architecture consists in a data warehouse including data on patients, clinical trials and array platforms and a DeMilitarized Zone for data exchange. A secure web-based platform allows any collaborative team to request the data warehouse and access basic statistics on integrated data. The presented system is currently in use.
机译:我们介绍了用于临床,基因表达,蛋白质表达和分析前数据分析的集成平台的第一阶段开发。该平台旨在为研究淋巴瘤疾病特定领域中新的生物标志物和预后因素的研究人员提供透明的访问和分析工具。在本文中,我们报告了数据集成阶段。该平台的主要优势在于它的完整性,因为它集成在单个环境中的临床,基因组和蛋白质组学数据中,可以进行组合分析。该架构包含一个数据仓库,其中包含有关患者,临床试验和阵列平台的数据以及一个用于数据交换的非军事区。一个基于Web的安全平台允许任何协作团队请求数据仓库并访问有关集成数据的基本统计信息。所提供的系统当前正在使用中。

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