lncRNA-miRNA-disease association method based on fusion similarity

A similarity and disease technology, applied in instrumentation, genomics, proteomics, etc., can solve impractical and costly problems

Active Publication Date: 2021-01-29
QIQIHAR UNIVERSITY
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Problems solved by technology

Therefore, the association between lncRNA and disease can realize early detection of disease, targeted treatment of disease, and systematic understanding of the pathogenic nature of complex diseases, etc. However, using biological experiments one by one to discover all links is a costly and impractical

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  • lncRNA-miRNA-disease association method based on fusion similarity
  • lncRNA-miRNA-disease association method based on fusion similarity
  • lncRNA-miRNA-disease association method based on fusion similarity

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Embodiment Construction

[0060] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0061] The present invention provides a lncRNA-miRNA-disease association method of fusion similarity, such as figure 1 and 2 As shown, the method includes the following steps:

[0062] Step 1. Obtain known lncRNA-miRNA association data sets, known miRNA-disease association data sets, and known lncRNA-disease association data sets from the gene and disease database, and obtain the lncRNA-miRNA association data sets, The lncRNA-disease association data set and the miRNA-disease association data set construct a triple network composed of lncRNA-miRNA-dis...

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Abstract

The invention discloses an lncRNA-miRNA-disease association method based on fusion similarity. The method comprises the following steps: constructing an lncRNA-miRNA-disease network; calculating the functional similarity of the fused lncRNA; calculating and integrating disease semantic similarity; obtaining a weight matrix of the miRNAs between the miRNA-lncRNAs and a weight matrix of the miRNAs between the miRNA-diseases according to a weight distribution algorithm; obtaining a miRNA-lncRNA association score matrix according to the fused lncRNA with similar functions, the miRNA-lncRNA adjacency matrix and the weight matrix of miRNA-lncRNA between the miRNA-lncRNAs; integrating the disease semantic similarity, the miRNA-disease adjacency matrix and the weight matrix of miRNAs among miRNA-diseases to obtain a miRNA-disease association score matrix; integrating the two incidence matrixes to obtain an incidence score matrix Smld; and predicting the Smld by using the prediction model. Theunknown incidence relation hidden under the data is revealed through the multi-aspect data relation.

Description

technical field [0001] The invention belongs to the field of correlation prediction in bioinformatics, and relates to a lncRNA-miRNA-disease interaction network prediction method for disease correlation. Background technique [0002] lncRNA refers to long non-coding RNA (IncRNAs) with a length greater than 200 nucleotides, which was considered as noise in the past, that is, it has little effect on gene expression. However, with the development of medicine, lncRNA was found to be involved in dose compensation effects, Cell differentiation regulation, epigenetic regulation, cell cycle regulation and other life activities play an important role in these life activities, so lncRNA has become a new research hotspot. Nowadays, a large number of studies have shown that lncRNA is closely related to many human diseases, including degenerative neurological diseases, Alzheimer's disease, and various cancers. Abnormalities in protein interactions are involved in diseases, thereby affec...

Claims

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Application Information

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IPC IPC(8): G16B20/00G16B30/00
CPCG16B20/00G16B30/00
Inventor 王波张超崔连和张剑飞杜晓昕
Owner QIQIHAR UNIVERSITY
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