Multi-omics data optimization method, system and equipment for intestinal flora matching and medium

Abstract

The invention provides a multi-omics data optimization method, system and equipment for intestinal flora matching and a medium. The method comprises the following steps: collecting multi-omics data of a flora transplantation donor and a flora transplantation receptor; respectively preprocessing the multi-omics data of the flora transplantation donor and the flora transplantation receptor to obtain to-be-matched multi-omics data; constructing an auto-encoder, and performing dimension reduction and compression processing on the to-be-matched multi-omics data according to the auto-encoder to obtain multi-omics data optimization features; according to the method, the multi-omics data of intestinal flora transplantation matching is efficiently optimized by using an auto-encoder method, the data dimension and redundancy are greatly reduced, and by using L1 regularization, noise is effectively filtered, the value and the distinction degree of the multi-omics data features are improved, meanwhile, overfitting is prevented, and the method is suitable for large-scale popularization and application. High-quality input is provided for downstream matching, the matching efficiency and accuracy are effectively improved, and then reliable guarantee is provided for the treatment effect of intestinal flora transplantation.

Description

technical field [0001] The invention relates to the field of biomedical technology, in particular to a multi-omics data optimization method, system, computer equipment and storage medium for intestinal flora matching. Background technique [0002] Intestinal flora transplantation is a kind of transplantation of functional flora in the feces of healthy people into the intestinal tract of patients in a certain way, so as to adjust the imbalance of intestinal flora, restore the diversity of intestinal flora, and treat intestinal flora imbalance. The way in which the disease is treated. In the actual intestinal flora transplantation, in order to ensure the health status of the recipient after transplantation, it is necessary to conduct a comprehensive inspection of the health status of the recipient and the donor, such as comprehensive physical examination, intestinal bacteria detection and blood test, etc., and then the collected Donor data and recipient data for precise match...

AI Technical Summary

Problems solved by technology

[0003] When using multi-omics data modeling in the precise matching of intestinal flora transplantation, the original features of the multi-omics data are directly used as input for matching analysis. The amount of data is very large, resulting in very low calculation efficiency

However, the actual multi-omics data is not all data related to the matching degree of intestinal transplantation, that is, the original data has a lot of noise and redundancy, and directly used for analysis not only reduces the processing efficiency, but also affects the accuracy of the analysis

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