Method for batch detecting susceptibility gene of common brain disease

A susceptibility gene, batch detection technology, applied in the field of bioinformatics technology and genetics, to achieve the effect of increased reliability, good repeatability, and reduced false positive rate

Inactive Publication Date: 2008-01-23
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

For network analysis, current research still has two limitations. One is that there are few studies in combination with diseases, and the other is that there are few studies in combination with various biological data.

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  • Method for batch detecting susceptibility gene of common brain disease
  • Method for batch detecting susceptibility gene of common brain disease
  • Method for batch detecting susceptibility gene of common brain disease

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Embodiment Construction

[0028] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0029] The present invention collects various available public biological data such as large-scale genomes and proteomes, stores these data in computers, and integrates these different data sets based on the Bayesian statistical model to construct a more accurate and complex brain gene network, and analyze the statistical characteristics of the network; on the basis of this network, introduce the prior information of a common brain disease, and then according to the criteria defined in the present invention, the importance of all brain genes in the network is sorted, and the selected scores are higher High genes constitute a related gene sub-network, so that multiple related susceptibility genes of the diseas...

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Abstract

The invention relates to an ordinary brain disease susceptibility gene detection method based on complicated brain gene network in the technical field of biological information, which is able to carry out large-scale detection of susceptibility gene in a plurality of ordinary brain diseases. The methods comprise two parts: 1. Construct the complicated brain gene network based on Bayesian model integrated genome, protein group and a plurality of utilizable biological data and analyze the statistic tributes of the network; 2. Based on the network, introduce the pre-testing information of certain ordinary brain disease, sort the importance of all the brain genes according to connection tribute of the network, then select the genes with high scores to construct relevant gene sub-network, so as to conveniently process the susceptibility gene related to such a disease in large scale. Therefore, the invention is able to realize batch testing of susceptibility gene in ordinary brain disease with speed on ordinary microcomputer, thus conveniently and expressly providing very valuable hints for conventional genetics research and a plurality of pathologic researches.

Description

technical field [0001] The invention belongs to the fields of bioinformatics technology and genetics, and relates to batch detection of common brain disease susceptibility genes based on a complex brain gene network. Background technique [0002] Currently, complex network research is becoming one of the most popular research topics in the world. Since Strogatz first proposed the small-world network in Nature in 1998 [1] (Watts DJ and Strogatz SH. Collective dynamics of 'small-world' networks. Nature, 393: 440-442, 1998), the world's authoritative magazines Nature and Science annually There are a large number of articles related to complex network modeling, statistical analysis, and applications in social networks, biological networks, etc. [2-5] (Barabasi AL and Albert R. Emergence of scaling in random networks. Science, 286: 509- 12, 1999; Albert R., Jeong H., and Barabasi AL. diameter of the world wideweb. Nature, 401: 130-131, 1999; Guimera R., Amaral LAN., Functional c...

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Application Information

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IPC IPC(8): G06F19/00C12Q1/68G06F19/12G06F19/18
CPCY02A90/10
Inventor 刘冰蒋田仔
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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