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首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data
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BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data

机译：BICLUSO：一种新颖的BICLUSTING方法及其在物种 - VOC关系数据的应用

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摘要

In this paper, we propose a novel biclustering approach called BiClusO. Biclustering can be applied to various types of bipartite data such as gene-condition or gene-disease relations. For example, we applied BiClusO to bipartite relations between species and volatile organic compounds (VOCs). VOCs, which are emitted by different species, have huge environmental and ecological impacts. The biosynthesis of VOCs depends on different metabolic pathways which can be used to categorize the species. A previous study related to the KNApSAcK VOC database classified microorganisms based on their VOC profiles, which confirmed the consistency between VOC-based and pathogenicity-based classifications. However, due to limited data, classification of all species in terms of VOC profiles was not performed. In this study, we enriched our database with additional data collected from different online sources and journals. Then, by applying BiClusO to species-VOC relational data, we determined that VOC-based classification is consistent with taxonomy-based classification of the species. We also assessed the diversity of VOC pathways across different kingdoms of species.
机译：在本文中，我们提出了一种名为Bicluso的新型双板手段。 BICLUSTING可以应用于各种类型的二分层数据，例如基因病症或基因疾病关系。例如，我们将Bicluso应用于物种和挥发性有机化合物（VOC）之间的二分关系。由不同物种发出的VOC，具有巨大的环境和生态影响。 VOC的生物合成取决于可用于对物种进行分类的不同代谢途径。基于其VOC简档的Knapsack VOC数据库分类的先前研究，该研究证实了基于VOC和基于致病性的分类之间的一致性。但是，由于数据有限，未执行所有物种的分类。在这项研究中，我们丰富了我们的数据库，并从不同在线来源和期刊中收集了其他数据。然后，通过将Bicluso应用于物种 - VOC关系数据，我们确定基于VOC的分类与基于分类的物种分类一致。我们还评估了不同王国的VOC途径的多样性。

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