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bioNMF: a versatile tool for non-negative matrix factorization in biology

机译:bioNMF:生物学中非负矩阵分解的多功能工具

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摘要

BackgroundIn the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insights and relevant information about the complex latent relationships in experimental data sets. This method, and some of its variants, has been successfully applied to gene expression, sequence analysis, functional characterization of genes and text mining. Even if the interest on this technique by the bioinformatics community has been increased during the last few years, there are not many available simple standalone tools to specifically perform these types of data analysis in an integrated environment.
机译:背景技术在生物信息学领域,由于非负矩阵分解技术(NMF)能够提供有关实验数据集中复杂潜在关系的新见解和相关信息的能力,因此引起了人们极大的兴趣。该方法及其一些变体已成功应用于基因表达,序列分析,基因功能表征和文本挖掘。即使最近几年来生物信息学界对此技术的兴趣有所增加,也没有很多可用的简单独立工具来在集成环境中专门执行这些类型的数据分析。

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