Global human mtDNA development tree classified query method based on integrated learning

Abstract

The invention discloses a global human mtDNA development tree classified query method based on integrated learning. Artificially-measured mtDNA data is adopted to train a neural network classifier, mtDNA development tree data is adopted to calculate parameters of a naive Bayes classifier, mutation loci of mtDNA to be classified and queried are input into the neural network classifier to obtain thefirst Q possible classifications, merging the mutation loci of mtDNA to be classified and queried and mutation locus sequences corresponding to the first Q possible classifications to obtain input mutation locus sequences of the naive Bayes classifier, calculating to obtain the weights of various mutation loci of the input mutation locus sequences, obtaining first Q possible classification through the naive Bayes classifier, and weighting probabilities of the two groups of mutation locus sequences to obtain the first Q possible classifications as the final classification result. By means of the global human mtDNA development tree classified query method based on integrated learning, the advantages of the neural network classifier and the naive Bayes classifier are comprehensively utilized, and the accuracy of global human mtDNA development tree classified query is improved.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and more specifically relates to a global human mtDNA development tree classification query method based on integrated learning. Background technique [0002] my country is a country with a large population. Based on such a large country base, and the continuous exchanges and integration of various regions in the long river of history, as well as the isolation and migration based on geographical relations, my country's multi-ethnic population characteristics have gradually formed, providing researchers with A rich and diverse genetic treasure trove. But how to use such a treasure trove of genes to study human origin, migration, development and genetic structure is a problem we face. The research on the origin, migration and evolution of various ethnic groups is not only a major scientific issue, but also involves the self-identification of each ethnic group, which has important humanisti...

AI Technical Summary

Problems solved by technology

[0005] As far as the current global human mtDNA development tree classification query method is concerned, due to the problem of algorithm design, its correct rate is low, it is difficult to meet the actual needs, and the data cannot be updated, so the practicability is not enough

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