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Method for obtaining disease potentially-associated gene based on multi-source information fusion

A multi-source information fusion and genetic technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as no semantics, no directionality of biological networks, information acquisition and information mining constraints, etc.

Active Publication Date: 2013-01-02
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

At present, a lot of research work on biological network data has been carried out at home and abroad. Although biological network plays an important role in biological information mining, biological network has no directionality and semantics, and has a certain role in information acquisition and information mining. constraints

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  • Method for obtaining disease potentially-associated gene based on multi-source information fusion
  • Method for obtaining disease potentially-associated gene based on multi-source information fusion
  • Method for obtaining disease potentially-associated gene based on multi-source information fusion

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0041] figure 1 It is a schematic diagram of the method for acquiring potential disease-associated genes based on multi-source information fusion provided by the present invention. Such as figure 1 As shown, the present invention provides a method for acquiring potential disease-associated genes based on multi-source information fusion, figure 1 Three steps are given from left to right in the figure: the disease-associated gene prediction step based on the non-related literature knowledge discovery algorithm, the disease-associated gene prediction step based on the functional similarity algorithm, and the disease-associated gene prediction step based on the regression prediction model algorithm Steps; Furthermore, the a...

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Abstract

The invention discloses a method for obtaining disease potentially-associated genes based on multi-source information fusion. The method comprises the following steps of: predicting disease-associated genes found based on uncorrelated literature knowledge, predicting disease-associated genes based on functional similarity, predicting disease-associated genes based on a regression prediction model, respectively scoring associated genes obtained through prediction of disease-associated genes found based on uncorrelated literature knowledge, prediction of disease-associated genes based on functional similarity and prediction of disease-associated genes based on a regression prediction model, establishing preliminary analysis to the associated genes, and fusing results obtained in all steps to obtain a final judgment result to determine the disease potentially-associated genes.

Description

technical field [0001] The invention relates to the field of bioinformatics, in particular to the field of using computer technology to predict potential associated genes of diseases. Background technique [0002] At present, with the development of biotechnology, computer technology and high-throughput technology, a large amount of literature and data related to diseases have been accumulated in various fields. Facing these data, it is necessary to use effective methods to find the most meaningful part from these data and predict Disease-related genes, which can be used to help the treatment of diseases. In-depth mining of the associated genes of complex diseases has become an important challenge in disease-related research, which has important guiding significance for clinical diagnosis and treatment, and a large number of existing studies have shown that if the potential knowledge of disease-associated genes can be deeply excavated, it is very important for revealing the ...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 高一波陈迪卢朋陈琳刘西代文宋江龙温伟娜
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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