Efficient prediction method for association relationship between circRNA and disease

A technology of correlation and disease, applied in the field of bioinformatics, can solve the problems of reducing accuracy, time-consuming, and not considering different subtle semantic meanings, and achieve the effect of reducing workload
CN113178232APending Publication Date: 2021-07-27CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
Publication Date
2021-07-27

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Abstract

The invention discloses an efficient prediction method for a circRNA and disease association relationship. The method comprises the following steps: 1, downloading circRNA data and disease data from a database website; 2, calculating a circRNA Gaussian kernel similarity, a circRNA gene similarity, a circRNA sequence similarity, a disease Gaussian kernel similarity and a disease semantic similarity which are respectively a matrix CIS, a matrix CGS, a matrix CES, a matrix DIS and a matrix DSS; 3, constructing a circRNA comprehensive similarity matrix CS, and constructing a disease comprehensive similarity matrix DS; 4, obtaining similarity matrixes CRS and DRS by using a restart random walk algorithm; 5, respectively splicing the CRS, the DRS and the A, and performing feature extraction by using a PCA algorithm to obtain feature matrixes CF and DF; 5, constructing a heterogeneous adjacency matrix Acd according to CS, DS and the adjacency matrix A; constructing a heterogeneous feature matrix CD according to the CF and the DF; 6, finally, performing classification prediction on the Acd and the CD by using a graph convolutional neural network. The method provided by the invention is a brand-new method for predicting the association of circRNA and diseases.
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Description

technical field

[0001] The invention relates to the field of bioinformatics, in particular to a method for predicting the association between circRNA and disease. Background technique

[0002] With the development of genomics and bioinformatics, especially the extensive application of high-throughput sequencing technology, scientists have discovered more and more non-protein-coding transcription units. In particular, circRNA, as the sponge adsorbent of microRNA, can indirectly regulate the expression of microRNA target genes and play an important role in the occurrence and development of human diseases. Therefore, circRNAs can be used as disease biomarkers and are widely used in disease diagnosis.

[0003] At present, people have basically understood the formation and characteristics of circRNAs, but there are still many biological functions that are still unclear. Research on circRNA mainly focuses on its correlation with diseases. A large number of studies have shown tha...

Claims

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