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关于预测分子生物系统中多标签属性的一些评论。

Some remarks on predicting multi-label attributes in molecular biosystems.

作者信息

Chou Kuo-Chen

机构信息

Gordon Life Science Institute, 53 South Cottage Road, Belmont, Massachusetts 02478, USA.

出版信息

Mol Biosyst. 2013 Jun;9(6):1092-100. doi: 10.1039/c3mb25555g. Epub 2013 Mar 28.

DOI:10.1039/c3mb25555g
PMID:23536215
Abstract

Many molecular biosystems and biomedical systems belong to the multi-label systems in which each of their constituent molecules possesses one or more than one function or feature, and hence needs one or more than one label to indicate its attribute(s). With the avalanche of biological sequences generated in the post genomic age, it is highly desirable to develop computational methods to timely and reliably identify their various kinds of attributes. Compared with the single-label systems, the multi-label systems are much more complicated and difficult to deal with. The current mini review focuses on the recent progresses in this area from both conceptual aspects and detailed mathematical formulations.

摘要

许多分子生物系统和生物医学系统属于多标签系统,其中它们的每个组成分子都具有一种或多种功能或特征,因此需要一个或多个标签来指示其属性。随着后基因组时代产生的生物序列雪崩式增长,迫切需要开发计算方法来及时、可靠地识别它们的各种属性。与单标签系统相比,多标签系统要复杂得多,也更难处理。当前的小型综述从概念方面和详细的数学公式两方面聚焦于该领域的最新进展。

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