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Construction method and system of heuristic metabolic co-expression network

A construction method and co-expression technology, applied in the field of metabolomics network, can solve the problems of low accuracy, high cost, poor stability and so on

Inactive Publication Date: 2016-06-29
SHENZHEN UNIV +4
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Problems solved by technology

[0015] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a method and system for constructing a heuristic metabolic co-expression network, aiming to solve the problems of low accuracy, poor stability and high cost of the existing construction methods

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  • Construction method and system of heuristic metabolic co-expression network

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Embodiment Construction

[0117] The present invention provides a method and system for constructing a heuristic metabolic co-expression network. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0118] see figure 1 , figure 1 It is a flow chart of a preferred embodiment of a method for constructing a heuristic metabolic co-expression network of the present invention, as shown in the figure, which includes steps:

[0119] 1), for the original metabolic feature data set F * Perform regularization preprocessing so that all M metabolic feature vectors have zero mean and unit variance in each dimension:

[0120] F m = F m ...

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Abstract

The invention discloses a construction method and system of a heuristic metabolic co-expression network. According to the most dependent criterion that mutual information of multiple metabolite features serves as a fitness function value, a heuristic intelligent multimode optimization algorithm is used to search optimization from an optimal feature subset. The optimization process is carried out for multiple times, and results of the multiple times are combined and learned to construct the co-expression network structure. A probability model is used to calculate a segmentation threshold, and the accurate and stable metabolic co-expression network is obtained.

Description

technical field [0001] The invention relates to the field of metabolomics network, in particular to a method and system for constructing a heuristic metabolic co-expression network. Background technique [0002] Metabolites are the general term for small molecular organic compounds that complete metabolic processes in organisms, and contain rich physiological state information. Based on the overall systematic study of metabolites, metabolomics can effectively reveal the real mechanism behind physiological phenomena and more comprehensively display the dynamic state of living organisms. Therefore, it has received more and more attention and has been widely used in many scientific research and practical fields. On the other hand, traditional machine learning methods are often difficult to cope with the high-dimensional, small-sample, and high-noise data characteristics of metabolomics. It is an important direction for the future development of metabolomics to use innovative ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G16B5/20G16B40/00
CPCG06N3/002G16B5/20G16B40/00G16B5/00
Inventor 纪震周家锐殷夫朱泽轩
Owner SHENZHEN UNIV
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