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Conceptual schema of miRNA's expression: Using efficient information systems practices to manage and analyse data about miRNA expression studies in breast cancer

机译:miRNA表达的概念图式:使用有效的信息系统实践来管理和分析有关乳腺癌中miRNA表达研究的数据

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Effective data management of clinical information is well-known to be a very complex task. The breast cancer context provides a good example of how challenging the problem is in Information Systems terms. In fact, it is one of the basic problems faced by clinicians who work in this area. However, this problem is even bigger when clinicians and biologists try to relate these data to biological data obtained from research studies about this disease. This paper shows how Conceptual Modeling practices provide reliable working environments where clinical and biological information are clearly linked. We focus on miRNAs expression studies in breast cancer patients as a representative study of biological data in this environment. Representing all these biological data using Conceptual Modeling techniques and connecting it with the clinical information properly modeled using the same technique, creates the appropriate background to develop an information system able to manage efficiently and analyze all this information.
机译:众所周知,对临床信息进行有效的数据管理是一项非常复杂的任务。乳腺癌的背景提供了一个很好的例子,说明了信息系统方面的问题是多么具有挑战性。实际上,这是在该领域工作的临床医生面临的基本问题之一。然而,当临床医生和生物学家试图将这些数据与从对该疾病的研究中获得的生物学数据联系起来时,这个问题就更大了。本文展示了概念建模实践如何提供可靠的工作环境,在这些环境中,临床和生物学信息之间有着明确的联系。我们专注于乳腺癌患者中miRNA的表达研究,作为该环境下生物学数据的代表性研究。使用概念建模技术表示所有这些生物学数据,并将其与使用相同技术正确建模的临床信息联系起来,创建适当的背景,以开发能够有效管理和分析所有这些信息的信息系统。

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