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A big data-oriented metabolome feature data analysis method and system

A technology of characteristic data and analysis methods, applied in the field of bioinformatics, which can solve the problem of inability to quickly and effectively analyze metabolome big data

Inactive Publication Date: 2017-07-18
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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  • A big data-oriented metabolome feature data analysis method and system
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  • A big data-oriented metabolome feature data analysis method and system

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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] Such as 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 ...

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Abstract

The present invention discloses a big data-oriented metabolome characteristic data analysis method and system thereof. The method includes: A. receiving input metabolome characteristic data, dividing it into multiple data blocks, and dividing the multiple data blocks into The mapping is sent to each computing node in the mapping protocol framework; B. Using computational intelligence methods to optimize the weighted weights on multiple data blocks at the same time; C. Merging the optimized weighted weights of multiple data blocks into an overall metabolism The weighted weight value of group characteristic data and output. The data block processing mechanism of the system of the present invention reduces the difficulty of weighted analysis and effectively improves the prediction accuracy. And the parallel structure enables the system to be deployed to multiple computing nodes, significantly reducing computing time while ensuring the efficiency and stability of the system. The computational intelligence algorithm applied in this system can effectively solve complex large-scale optimization problems. Its prediction accuracy is better than that of existing algorithms, so that the target physiological state can be estimated more effectively.

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 Patents(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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