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Network node correlation-based identification method and system for function module in co-regulation network

A technology that regulates networks and functional modules, applied in the field of computational biology, can solve problems such as lack and identification of co-regulatory networks, and achieve the effect of simple implementation and increased density

Active Publication Date: 2018-02-09
HUNAN UNIV
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Problems solved by technology

Due to the variety of node types and edge types involved in co-regulatory networks, there is currently a lack of effective methods to identify functional modules in co-regulatory networks

Method used

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  • Network node correlation-based identification method and system for function module in co-regulation network
  • Network node correlation-based identification method and system for function module in co-regulation network
  • Network node correlation-based identification method and system for function module in co-regulation network

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Embodiment 1

[0057] 1. Co-regulated network functional module identification method based on network node correlation degree

[0058] In the present invention, the functional modules in the co-regulation network are defined as: using expression profile data, gene regulatory relationship and protein interaction data, a heuristic method is proposed based on the node correlation degree of the co-regulation network, thereby identifying three components in the co-regulation network. A subgraph of the class node type.

[0059] In order to clearly describe the identification method model of co-regulated network function modules based on the degree of network node association, the inventor defines the model as follows:

[0060] The calculation form of the node association degree in the proposed weighted co-regulation network is as follows:

[0061]

[0062] Among them, E represents the set of edges in the weighted co-regulation network, e∈E; e mg 、e tg and e gg represent the three edge type...

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Abstract

The invention discloses a network node correlation-based identification method for a function module in a co-regulation network. Based on a concept of network node correlation, a key regulator in theco-regulation network serves as a seed node; a weighted co-regulation network is constructed by utilizing LASSO; and a co-regulation function module is identified in the weighted network. The method is simple to realize; the function module in the co-regulation network can be identified more accurately only according to expression spectrum data and a regulation relationship; an experiment proves that the identified function module is of very important biological significance; and the method has important theoretical significance and practical values for pathogenesis research of complex diseases.

Description

technical field [0001] The invention belongs to the field of computational biology, and relates to a method and system for co-regulating network function module identification of network node correlation degree. Background technique [0002] The emergence and wide application of a new generation of high-throughput sequencing technology (High-throughput Sequencing Technology) has led to a rapid increase in the acquisition of biological data, including genome, proteome, nucleic acid, DNA and RNA sequence data, while a series of biological data Processing methods emerged as the times require, and the analysis and mining of biological data has increasingly become the focus of bioinformatics research. In the post-genome era, based on Genome-Wide Association Studies (GWAS), we are committed to discovering gene variations and single nucleotide polymorphisms of diseases, and researching and determining disease susceptibility through genome-wide sequencing of complete sets of DNA for...

Claims

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Application Information

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IPC IPC(8): G06F19/20G06F19/18
CPCG16B20/00G16B25/00
Inventor 骆嘉伟向根晏峻峰王伟胜刘东波刘青平
Owner HUNAN UNIV
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