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Method for predicting potential association between miRNA and disease based on constrained probability matrix decomposition

A probabilistic matrix factorization, disease technology, used in pathological reference, sequence analysis, instrumentation, etc.

Pending Publication Date: 2020-02-11
HUNAN UNIV
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Problems solved by technology

Therefore, how to achieve remarkable performance in prioritizing disease miRNAs remains a challenge

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  • Method for predicting potential association between miRNA and disease based on constrained probability matrix decomposition
  • Method for predicting potential association between miRNA and disease based on constrained probability matrix decomposition
  • Method for predicting potential association between miRNA and disease based on constrained probability matrix decomposition

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Embodiment Construction

[0055] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with experiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] 1. Experimental method and parameter setting

[0057] To systematically evaluate the performance of CPMDM on the collected datasets, a 5-fold cross-validation (CV) experiment was performed. In each 5-fold CV repetition, for a given disease d, the known d Related miRNAs were randomly divided into five subsets of equal size, and then one subset was used as a test set, and the remaining four subsets were used as a training set. CV experiments were performed on the training dataset to estimate the parameters. All parameter combinations are based on grid search. RMSE and AUC are used as evaluation indicators. The influe...

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Abstract

The invention relates to data mining in bioinformatics, and particularly to mining of disease bioinformatics data and miRNA gene data. Specifically, the invention relates to prediction of the potential association between miRNA and a disease through data mining of miRNA and disease biological information. The method provided by the invention comprises the steps of processing of miRNA and disease-related data; analysis of disease similarity; analysis of miRNA similarity; learning of domain-based miRNA and the disease; constraint probability matrix decomposition of disease-related miRNA; and prediction of potential association between miRNA of the disease. The method provided by the invention can be used for predicting the potential association between miRNA and the disease, and can detect potential miRNA associated with the disease.

Description

technical field [0001] The invention relates to data mining in bioinformatics, in particular to the mining of disease bioinformatics data and miRNA gene data. It specifically involves predicting the potential association between miRNA and disease through data mining of miRNA and disease biological information. Background technique [0002] MicroRNA (miRNA) is a kind of non-coding small RNA with a length of about 20-24 nucleotides, which participates in various biological processes such as cell proliferation, development and apoptosis, and plays an important role in regulating the cell cycle and the development of organism important role. They regulate gene expression through cleavage or translational repression by recognizing complementary target sites in the untranslated region of mRNA. With the development of high-throughput sequencing technology, it has been found that miRNA can regulate cell behavior, cause abnormal physiological responses of individuals, and lead to t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10G16B40/00G16H70/60
CPCG16B30/10G16B40/00G16H70/60
Inventor 卢新国陈关元朱正浩李金鑫丁莉
Owner HUNAN UNIV
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