Method for screening hepatic disease marker from body fluid metabolic profile using chain multi-population genetic algorithm

Abstract

The invention provides a method for screening a hepatic disease marker from a body fluid metabolic profile using a chain multi-population genetic algorithm, belonging to the data mining and metabonimics technical field. The method is characterized by comprising the following steps: firstly, analyzing body fluid metabolites using a liquid chromatograph-mass spectrometer (LC-MS) to obtain the metabolic profile, carrying out multi-population parallel evolution to obtain a plurality of feature subsets with strong discrimination capability, and measuring significance of features according to the frequency that the features appear in the subsets; secondly, searching from front to back according to the significance of the features sequentially to screen out the marker showing three-stage specificity of hepatic disease; and finally carrying out information interaction between adjacent populations during the evolution to avoid a premature defect of the genetic algorithm. Meanwhile, the invention further provides a new crossover operation to ensure that any chromosome does not contain the same feature. The method can help efficiently and accurately screen out the relevant markers in three stages of hepatic disease, thus achieving high precision and good stability; and 10-fold cross validation for a SVM model constructed by the screened features can achieve up to 97.9% in high precision.

Description

technical field [0001] The invention belongs to the technical fields of data mining and metabolomics, and is a new method for screening small molecular metabolic markers of liver disease by analyzing the metabolic profile of body fluids based on the data mining method and metabolomics technology. Background technique [0002] Liver disease has increasingly become one of the diseases that seriously endanger human health. According to the statistics of the World Health Organization, there are about 350 million people with chronic hepatitis infection in the world. In the course of the disease, chronic hepatitis can develop into liver cirrhosis, which is one of the main causes of hepatocellular carcinoma (HCC). Chronic hepatitis, liver cirrhosis, and liver cancer caused by HBV infection cause 500,000 to 1,200,000 deaths per year. Worldwide, the mortality rate of liver cancer patients ranks fourth among malignant tumors. In China, since the 1990s, the mortality rate of liver can...

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Problems solved by technology

[0006] The genetic algorithm has a strong dependence on the initial population. In the iterative process, with the con

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