Construction method for specific cancer differential expression gene regulation and control network

A technology of cancer differential expression and gene regulation network, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as high computational complexity, reduce computational complexity, high precision, etc., to overcome computational complexity High degree of accuracy, reduced complexity, and high-precision effects

CN105740651AInactive Publication Date: 2016-07-06JILIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-07-06
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a construction method for a specific cancer differential expression gene regulation and control network.The method includes the following steps of firstly, constructing a framework gene interaction network according to function similarity weight numbers between genes; secondly, conducting module division on the framework gene interaction network through a segmenting method; thirdly, screening out differential expression genes through complete genome methylation data; fourthly, classifying the screened-out differential expression genes according to functions; fifthly, using all the differential expression genes mapped to each same function module as a function classification; sixthly, constructing the regulation and control network of all the genes in each function classification function; seventhly, conducting sub-network splicing under guidance of a framework network.The calculation complexity is greatly reduced, and high precision is achieved.
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Description

technical field

[0001] The invention relates to the technical field of gene regulation network, in particular to a method for constructing a specific cancer differentially expressed gene regulation network. Background technique

[0002] Constructing a regulatory network of differentially expressed genes in a specific cancer is of great significance for identifying the pathogenic genes of this cancer and screening for drug targets. The current methods in the construction of gene regulatory networks are mainly divided into four categories: 1, methods based on similarity measurement; 2, methods based on graph structure search; 3, methods based on probabilistic reasoning; 4, methods based on equation solving. In the method based on similarity measurement, typical similarity measurement strategies include: Pearson correlation coefficient, mutual information, distance correlation, etc. For example, the ARACNE algorithm proposed by Margolin et al. is based on the method of mutual ...

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Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0039] Such as figure 1 As shown, the present invention provides a method for constructing a specific cancer differentially expressed gene regulatory network, and the specific steps are as follows:

[0040] Step 1 S110, construction of backbone gene interaction network.

[0041] The skeleton gene interaction network is a weighted network, in which the weight represents the functional similarity between genes, and the weight calculation method is as follows:

[0042] W ( G i , G j ) = 1 m Σ n = 1 m ...