Triple network resource propagating method

A network resource and network technology, applied in the field of bioinformatics, can solve problems such as limiting the selection of prediction methods

CN106934252AInactive Publication Date: 2017-07-07SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2017-07-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a triple network resource propagating method. The method is applied to a research process of an association relation between an environmental factor and a long non-coding RNA (Ribonucleic Acid) in bioinformatics. In combination with IncRNAs-miRNAs and miRNAs-EFs association network and resource transfer in the network, the invention provides an inference method based on a network to deduce the potential correlation between the IncRNAs and the EFs. Experimental analysis results show that, compared with other provided methods, the method can predict a reliable relation between the IncRNAs and the EFs. The results prove that the method predicts the biological significant correlation capability and helps people to understand a molecular process.
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Description

technical field

[0001] The invention relates to bioinformatics, in particular to a tripartite network resource dissemination method. The association relationship between lncRNA and environmental factors can be obtained. Background technique

[0002] The debate on whether variation in biological traits is congenital or acquired is mainly due to the debate on whether the variation is caused by genetic differences or environmental differences. The current main scientific point of view is that phenotypic differences are not caused by individual genetic differences or environmental differences, but are determined by the mutual influence of the two. This means that phenotypes and diseases are considered to be determined by a complex interplay between genetic factors (GFs) and environmental factors (EFs). To this day, it is generally accepted that almost all disease is the result of complex interactions between an individual's genetic makeup and their respective environments. So...

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Embodiment Construction

[0031] Combine below Figure 1 to Figure 3 The present invention is further described.

[0032] In the transfer model of the tripartite network, it is actually a process in which resources are transferred and superimposed on each node. For the processed bipartite graph N lm =(V l ,V m ,E lm ) and N me =(V m ,V e ,E me ) to construct the adjacency matrix respectively and where in the bipartite graph N lm in, if and interrelated, then otherwise In bipartite graph N me There is a similar definition in , if and interrelated, then otherwise

[0033] The resource transfer process of the tripartite network resource transfer algorithm is actually the weighting process of projecting a bipartite graph onto the tripartite network, that is, based on the intermediate miRNA, the weighting of the unilateral projection on the lncRNA-miRNA and miRNA-EF networks. Therefore, the algorithm can be divided into three parts, that is, to calculate the unilateral project...