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Big data-oriented metabolome characteristic data analysis method and system thereof

A technology of characteristic data and analysis methods, applied in the field of bioinformatics, can solve problems such as rapid and effective analysis of metabolome big data

Inactive Publication Date: 2014-09-24
周家锐 +4
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Problems solved by technology

[0010] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a big data-oriented metabolome characteristic data analysis method and its system, aiming to solve the problem that current data analysis methods cannot quickly and effectively analyze metabolome big data

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  • Big data-oriented metabolome characteristic data analysis method and system thereof
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  • Big data-oriented metabolome characteristic data analysis method and system thereof

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[0062] The present invention provides a big data-oriented metabolome characteristic data analysis method and its system. 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.

[0063] like figure 1 A big data-oriented metabolome feature data analysis method is shown, wherein the method includes the following steps:

[0064] S100. Receive the input metabolome feature data, divide it into multiple data blocks, and send the multiple data block mappings to each computing node in the mapping protocol framework.

[0065] Among them, if the input metabolome feature data is the metabolome feature data set where F n =[f 1 , f 2 ,..., f D ] is the nth feature vector, N is the data set size, and D is the total dim...

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Abstract

The invention discloses a big data-oriented metabolome characteristic data analysis method and a system thereof. The method comprises the following steps: A) receiving inputted metabolome characteristic data, cutting into multiple data blocks, and mapping and sending the data blocks into each operation node of a mapping protocol frame; B) utilizing a computational intelligence method to simultaneously optimize weighting values on the data blocks; C) merging the optimized weighting values of the data blocks into a weighting value of the whole metabolome characteristic data and outputting. A data block-dividing processing mechanism of the system provided by the invention is capable of reducing the weighting analysis difficulty and efficiently increasing the forecast accuracy. Due to a parallelization structure, the system can be deployed to multiple computational nodes, so that the operation time is obviously reduced while the efficiency and the stability of the system are ensured. According to the computational intelligence method applied by the system, the complex large-scale optimizing problem is effectively solved. The forecast accuracy is better than the forecast accuracy of the present algorithm, so that more effective forecasting for the target physiological status is realized.

Description

technical field [0001] The invention relates to the field of bioinformatics, in particular to a big data-oriented metabolome characteristic data analysis method and system thereof. 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. Metabolomics is an overall and systematic research method of metabolites, which can effectively reveal the biochemical mechanism behind metabolic phenomena. Compared with traditional research methods, metabolomics is considered to reveal the true state of living organisms more comprehensively. Therefore, it has received more and more attention and has been widely used in many scientific research and practical fields. [0003] The signal data obtained by collecting and detecting metabolites is called metabolome characteristic data, which is the basic object of metabolomics research. It is usually ana...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/10G16B40/20
CPCG16B99/00G16B40/20
Inventor 周家锐华韵之纪震朱泽轩曾启明
Owner 周家锐
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