Human taxonomical hierarchymicrobial flora ecological network structure and function variation recognizing method

Abstract

The invention belongs to the field of biomedical informatics analysis, and discloses a human taxonomical hierarchymicrobial flora ecological network structure and function variation recognizing method. Through the abundance values of all taxonomical hierarchies of a human body in different states, the relationship among microbial species is quantified; by analyzing the projection difference conditions of microbial florae in the T2 space in the different human body states, the variation of the microbial florae is recognized. The mean variation and covariance variation are recognized together, and the defect that mean hypothesis testing and other typical variation microbial recognizing methods cannot recognize discrete degree mutation conditions is overcome; the concept of the microbial flora subspace is put forward, the complicated relationship of the microbial florae is recognized, and the defect that a traditional method only recognizes the single microbial flora variation conditionsis overcome; the evaluating method for quantifying the microbial variation conditions is provided, and the quantifying support is provided for analyzing the relationship between the microbial flora variation and the human disease generation and development.

Description

technical field [0001] The invention belongs to the field of biomedical information analysis, and in particular relates to an identification method for the structure and function variation of the ecological network structure and function of human microbial flora. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Microbial community refers to a structural unit in which various microbial populations are loosely combined or organized and compactly combined in a certain area or in a certain habitat. Microorganisms exist in various organs of the human body in the form of communities, and the ecological characteristics of microbial communities can be divided into structural features and functional features, in which structural features describe the type, abundance and replacement of microbial community members under different environmental conditions. The structural characteristics of microbial communities c...

AI Technical Summary

Problems solved by technology

[0006] Existing technologies, such as the defect that typical mutant microorganism identification methods such as mean value hypothesis testing cannot identify discrete degree variation;

[0007] The existing technology only recognizes the variation of a single microbial flora, and cannot describe the changes in the complex relationship between microbial flora;

[0008] The identification of mutant microorganisms remains at the qualitative or semi-quantitative stage, and there is no quantitative evaluation method for microbial variation

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