Drug sensitivity prediction method and device based on multi-omics data fusion

Abstract

The invention discloses a drug sensitivity prediction method and device based on multi-omics data fusion, and belongs to the field of drug sensitivity detection. The method comprises the steps that three kinds of multi-omics information including genomics data, proteomics data and metabonomics data of individual cell lines are integrated through a cell line diagram characterization module, and a cell line multilateral diagram is obtained; according to the cell line multilateral graph, multi-omics information of a cell line and potential relation between expression products of genes in a multi-omics level are fully considered, then feature extraction is conducted on the cell line multilateral graph through a cell line graph feature extraction module, and node features and edge features in the cell line multilateral graph are fully extracted to serve as cell line features; and finally, a drug sensitivity prediction module is adopted to predict the semi-inhibitory concentration of the drug according to the cell line features and the drug features extracted based on the drug feature extraction module. According to the method, the prediction accuracy of the drug sensitivity is improved on the basis of comprehensively considering genomics data, proteomics data and metabonomics data.

Description

technical field [0001] The invention belongs to the technical field of drug sensitivity detection and evaluation, and in particular relates to a drug sensitivity prediction method and device based on multi-omics data fusion. Background technique [0002] The treatment of cancer is a major problem that the whole world is trying to solve. The development of high-throughput sequencing technology and artificial intelligence technology provides infinite possibilities for the precise treatment of cancer. How to use the rich biological information of the individual and efficient analysis methods such as deep learning and artificial intelligence to automatically learn the specific characteristics of the individual, and formulate a specific diagnosis and treatment plan for each individual, so as to achieve accurate diagnosis and treatment. It is an important issue that the world's researchers and industrial circles are very concerned about. Many researchers have made a lot of effort...

AI Technical Summary

Problems solved by technology

[0005] In view of the above, the purpose of the present invention is to provide a method and device for drug sensitivity prediction based on multi-omics data fusion to solve the problem of poor accuracy of drug sensitivity prediction due to ignoring potential links between genes

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