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Method for predicting relation between microorganisms and diseases

A technology of microorganisms and diseases, applied in the field of biomedicine, can solve problems such as low efficiency and achieve the effect of solving blindness

Active Publication Date: 2018-01-19
CENT SOUTH UNIV
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Problems solved by technology

In the past two years, several methods for predicting the relationship between microorganisms and diseases have been proposed, the most popular are KATZHMDA and PBHMDA, however, these two methods need to constantly adjust parameters to achieve the optimal effect, and the efficiency is low

Method used

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  • Method for predicting relation between microorganisms and diseases
  • Method for predicting relation between microorganisms and diseases
  • Method for predicting relation between microorganisms and diseases

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Embodiment 1

[0047] A method to predict the relationship between microorganisms and diseases, such as figure 1 As shown, the method includes the following steps:

[0048] Obtain the microbial space projection, specifically: calculate the similarity score between microorganisms based on the known microorganism-disease relationship data, and construct a microbial similarity network; project the microbial similarity network onto the known microorganism-disease relationship network, calculate Correlation scores between microbes and diseases obtained from microbe space projection;

[0049] Obtain disease space projections, specifically: calculate similarity scores between diseases based on known microbe-disease relationship data; integrate disease similarity based on symptoms to build a disease similarity network; project disease similarity networks to known microbes -On the disease relationship network, calculate the association score between microorganisms and diseases obtained by the diseas...

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Abstract

The invention discloses a method for predicting the relations between microorganisms and diseases. According to known microorganism-disease relation data and disease similarity data based on symptoms,a microorganism similarity network and a disease similarity network are constructed, and then through network consistency projection, the potential relations between microorganisms and diseases are predicted. Compared with the prior art, the method is characterized in that by integrating the disease similarity data based on symptoms, any parameter is not required in the whole calculation processes; the method is suitable for a condition of less microorganism-disease relation data; and the relations between microorganisms and diseases can be quite precisely predicted. The provided method is aglobal calculation method, so relations between multiple pairs of microorganisms and diseases can be predicted massively; and problems of blindness and high cost of a bio-experiment method can be effectively solved.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to a method for predicting the relationship between microorganisms and diseases. Background technique [0002] Microorganisms mainly include bacteria, protozoa, viruses, fungi and protozoa. The human body carries dozens or even hundreds of times more microorganisms than human cells, and they are widely distributed in human skin, mouth, digestive tract, respiratory tract, and reproductive tract. Studies have shown that microorganisms are closely related to humans: on the one hand, some microorganisms can improve the host's metabolic capacity, resist pathogens, enhance immunity and regulate gastrointestinal development; on the other hand, human microorganisms are closely related to many non-communicable diseases, such as obesity, hypertension, closely related to diabetes. In 2007, the National Institutes of Health of the United States hosted and launched the Human Microbiome Project (Huma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06K9/62
Inventor 张祖平邹帅张敬普
Owner CENT SOUTH UNIV
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