Gene detection method, model training method, device, equipment and system

Abstract

The embodiment of the invention provides a gene detection method, a model training method, a device, equipment and a system. The gene detection method comprises the following steps: acquiring to-be-processed gene data, wherein the average number of gene segments corresponding to each position in the to-be-processed gene data is smaller than or equal to a preset threshold value; inputting the to-be-processed gene data into a feature generation network layer for feature extraction operation to obtain gene features corresponding to the to-be-processed gene data and enhanced features corresponding to the gene features; and inputting the to-be-processed gene data and the enhanced features into a gene identification network layer for gene detection operation to obtain a detection result. According to the technical scheme provided by the embodiment, feature extraction operation is carried out through low-depth gene data, the gene features and the enhanced features corresponding to the gene features are obtained, and detection operation is carried out based on the enhanced features, so the accuracy of a gene detection result is ensured, and the data processing cost and the data processing amount are also reduced.

Description

technical field [0001] The invention relates to the technical field of gene processing, in particular to a gene detection method, model training method, device, equipment and system. Background technique [0002] Gene sequencing is a new type of genetic testing technology, which can analyze and determine the full sequence of genes from blood or saliva, and predict the possibility of suffering from various diseases, individual behavioral characteristics and reasonable behavior. Gene sequencing technology can lock personal disease genes, so as to facilitate early prevention and treatment based on personal disease genes. [0003] Among them, the gene sequence is composed of a large number of reads fragments. The reads fragment refers to a DNA fragment of a specific length. The above-mentioned specific length depends on the read length of the sequencer. The information in each read fragment can include: base sequence, quality sequence , positive and negative strands, etc., the ...

AI Technical Summary

Problems solved by technology

[0004] Generally speaking, it costs tens of thousands of dollars to do a whole genome sequencing. Although in recent years, with the continuous development of sequencing technology, the cost of gene sequencing has been reduced to a certain extent, but it is still a considerable expense.

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