Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

Inactive Publication Date: 2017-07-07
SOUTH CHINA UNIV OF TECH
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since there is no complete and reliable lncRNA-EFs association database established at present, there are not many data that we can choose as lncRNA-EFs prediction, which limits the choice of prediction methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Triple network resource propagating method
  • Triple network resource propagating method
  • Triple network resource propagating method

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F19/12G06F19/24
CPCG16B40/00G16B5/00
Inventor 时媛媛周杰
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com