异构生物医学信息学数据在线分析与信息融合平台

S. R. Ganta, Jyotsna Kasturi, J. Gilbertson, R. Acharya
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引用次数: 3

摘要

当前的生物医学信息学研究涉及对多个异构数据集的分析。这包括患者人口统计、临床和病理数据、治疗历史、患者结果以及基因表达、DNA序列和其他信息源,如基因本体。对这些数据集的分析可能会导致更好的疾病诊断、预后、治疗和药物发现。然而,从单个数据集中提取的知识范围是有限的。最近,通过信息融合以集成的方式分析基因组数据源的技术受到了很多关注。这就需要一个在线平台来使用这些技术分析生物医学信息学数据集。在此,我们提出了一个在线数据仓库,借助信息融合在异构生物医学信息学数据集上进行数据探索和分析。原型平台可在http://biogeowarehouse.cse.psu.edu上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An online analysis and information fusion platform for heterogeneous biomedical informatics data
Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment history, patient outcomes as well as gene expression, DNA sequences and other information sources such as gene ontologies. Analysis of these data sets could lead to better disease diagnosis, prognosis, treatment and drug discovery. However, the extent of knowledge that can be extracted from individual data sets is limited Recently, there has been a lot of focus on techniques that analyze genomic data sources in an integrated manner through information fusion. This places a need for an online platform to analyze biomedical informatics data sets using these techniques. We present here an online data warehouse to perform data exploration and analysis across heterogeneous biomedical informatics data sets with the aid of information fusion. The prototype platform is available at http://biogeowarehouse.cse.psu.edu.
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