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Chapter 15: Search Computing and the Life Sciences

机译:第15章:搜索计算与生命科学

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Search Computing has been proposed to support the integration of the results of search engines with other data and computational resources. A key feature of the resulting integration platform is direct support for multi-domain ordered data, reflecting the fact that search engines produce ranked outputs, which should be taken into account when the results of several requests are combined. In the life sciences, there are many different types of ranked data. For example, ranked data may represent many different phenomena, including physical ordering within a genome, algorithmically assigned scores that represent levels of sequence similarity, and experimentally measured values such as expression levels. This chapter explores the extent to which the search computing functionalities designed for use with search engine results may be applicable for different forms of ranked data that are encountered when carrying out data integration in the life sciences. This is done by classifying different types of ranked data in the life sciences, providing examples of different types of ranking and ranking integration needs in the life sciences, identifying issues in the integration of such ranked data, and discussing techniques for drawing conclusions from diverse rankings.
机译:已经提出了搜索计算来支持搜索引擎的结果与其他数据和计算资源的集成。最终集成平台的关键功能是对多域有序数据的直接支持,这反映了搜索引擎生成排名输出这一事实,在合并多个请求的结果时应考虑到这一点。在生命科学中,有许多不同类型的排名数据。例如,排序的数据可能代表许多不同的现象,包括基因组内的物理排序,代表序列相似性水平的算法分配分数以及实验测量值(例如表达水平)。本章探讨了设计用于搜索引擎结果的搜索计算功能在多大程度上可适用于生命科学中进行数据集成时遇到的不同形式的排名数据。这是通过对生命科学中不同类型的排名数据进行分类,提供生命科学中不同类型的排名和排名集成需求的示例,识别此类排名数据的集成问题以及讨论从不同排名中得出结论的技术来完成的。 。

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