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Method for recognizing key regulator in gene co-regulatory network based on linear model

A technology for regulating networks and linear models, which is applied in the field of computational biology, can solve problems such as high time complexity, failure to consider interaction and cooperative regulation relationships, and need to improve accuracy, so as to achieve the effect of simple implementation and improved accuracy

Active Publication Date: 2017-06-20
HUNAN UNIV
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Problems solved by technology

However, there are more or less problems in the existing methods: for example, they cannot handle large data, the time complexity is too high, the accuracy needs to be improved, etc.
However, this method simply considers the relationship between transcription factors and genes, and does not take into account the interaction and cooperative regulatory relationship between regulators in the co-regulatory network, and the recognition accuracy needs to be improved

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  • Method for recognizing key regulator in gene co-regulatory network based on linear model
  • Method for recognizing key regulator in gene co-regulatory network based on linear model
  • Method for recognizing key regulator in gene co-regulatory network based on linear model

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Embodiment 1

[0049] 1. Identification model of key regulators in gene co-regulatory network based on linear model

[0050] In the present invention, the key regulators in the gene co-regulation network are defined as: using gene expression profile data and gene regulation relationship, by constructing a linear model to predict the expression of known disease genes, thereby identifying the genes that seriously affect the disease in the co-regulation network Regulators of expression.

[0051] In order to clearly describe the key regulator identification model in the gene co-regulatory network based on the linear model, the inventors define the model as follows:

[0052] The proposed construct linear model predicts the expression of known disease genes in the form of:

[0053]

[0054] The goal of the linear model-based key regulator identification model in the gene co-regulatory network is to identify the regulators that seriously affect the expression of disease genes in the co-regulato...

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Abstract

The invention discloses a method for recognizing a key regulator in a gene co-regulatory network based on a linear model. The gene expression profile data and the gene regulation relation data are utilized to forecast the expression of the known disease gene in the manner of establishing the linear model, so as to complete the recognition for the key regulator in the gene co-regulatory network. The method provided by the invention is simply realized; the key regulator in the gene co-regulatory network can be accurately recognized only according to the gene expression profile data and the gene regulation relation; tests prove that the recognized regulator has an important biological significance and has important theoretical significance and practical value in researching the disease mechanism.

Description

technical field [0001] The invention belongs to the field of computational biology and relates to a method for identifying key regulators in a gene co-regulation network based on a linear model. Background technique [0002] In the post-genomic era, understanding the functions of genes, non-coding RNAs, proteins, and other related biomolecules, and revealing the realization mechanism of biological processes has become one of the most important research goals of computational systems biology and bioinformatics. Among them, the study of gene regulation is a very important topic. Understanding the regulatory mechanism of gene expression plays an important role in our understanding of biological processes and the pathogenesis of diseases. In eukaryotes, there are two types of important regulatory factors: transcription factors (TF) and microRNA (miRNA), which regulate the expression levels of target genes at the transcriptional and post-transcriptional levels, respectively. Tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/12G06F19/24
CPCG16B5/00G16B40/00
Inventor 王伟胜曾亚菲骆嘉伟刘智明蔡洁
Owner HUNAN UNIV
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