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Method for constructing gene regulation network

A gene regulation network and gene technology, applied in the fields of genomics, instruments, biological systems, etc., can solve problems such as increasing computational complexity, difficulty in appropriate settings, and interfering with network construction, to improve accuracy and computational time performance, and improve accuracy. , the effect of reducing the number of

Inactive Publication Date: 2019-01-15
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

This method is simple, but it is difficult to set the threshold properly. If it is set too large, too many associations will be discarded in the final generated network, and if it is too small, the network structure will be complicated.
The real gene regulation network has modularity and local correlation, and a large part of the data in the actual data is meaningless for the construction of the gene regulation network, which will interfere with the construction of the network and increase the complexity of the calculation

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  • Method for constructing gene regulation network
  • Method for constructing gene regulation network
  • Method for constructing gene regulation network

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The present invention mainly uses the maximum information coefficient to measure the linear and nonlinear correlation of gene expression data, retains the correlation information in the gene expression data to the greatest extent, and makes up for the information loss caused by using a single model; then uses local correlation The clustering method prunes the gene expression data, so that the noise data and exception data in the data can be found out more accurately, and the local correlation of the network can be preserved to the greatest extent, which is in line with the local modularity of the gene regulation network. Finally, the obtained clustering information is used as conditional prior knowledge to further refine the construction of gene regulatory network. The method model provided by the invention is as figure 1 As shown, the...

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Abstract

The invention discloses a method for constructing a gene regulation network. According to the method, a maximum information coefficient is used to measure the linear and non-linear relationship of gene expression data, correlation information in the gene expression data is retained to the greatest extent, and information loss caused by one model can be compensated; local density peak clustering isadopted to trim the gene expression data so as to find out noise data and edge data in the data and retain the local correlation of the network to the greatest extent; and with obtained clustering information adopted as conditions, a condition maximum information coefficient is calculated, so that the gene regulation network can be constructed more elaborately. With the method provided by the invention adopted, the complexity of computation is decreased, prior knowledge is more reliable, and the purpose of constructing the regulation network is stronger.

Description

technical field [0001] The invention relates to the technical field of gene regulation network relationship analysis, and specifically relates to a method for constructing a gene regulation network. Background technique [0002] Organisms exist as a very complex molecular system in nature, and different molecular interactions in cells make cells differentiate into different tissues. Genes in a biological system do not exist in isolation. A biological system is a complex overall structure. There is not a simple linear relationship between genes, but a complex gene regulation relationship. The study of gene regulatory network is helpful to study the operation mechanism of cell life process, helps to explain some mysteries of life process, can provide new ideas for the treatment of complex diseases, and is helpful for the screening of drug targets and the development of personalized therapeutic drugs. develop. With the development of high-throughput technology, gene expressio...

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Application Information

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IPC IPC(8): G16B20/00G16B25/00G16B40/00G16B5/00
Inventor 唐东明
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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