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Biological data network processing method based on similarity network fusion algorithm

A technology of biological data and network processing, applied in the field of biological information analysis

Pending Publication Date: 2020-04-14
JIANGNAN UNIV
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Problems solved by technology

[0005] In order to solve the current problem that only a single type of data can be analyzed without merging the characteristics of multiple types of data at the same time for data analysis to determine the disease subtype, the present invention provides a similarity network fusion algorithm based Biological data network processing method

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  • Biological data network processing method based on similarity network fusion algorithm
  • Biological data network processing method based on similarity network fusion algorithm
  • Biological data network processing method based on similarity network fusion algorithm

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Embodiment 1

[0049] This embodiment provides a biological data network processing method based on a similarity network fusion algorithm. For detailed description, this embodiment takes mRNA, miRNA, and lncRNA three types of data as data sets as an example, and uses these data to construct similar The property matrix is ​​fused, and then the sample network is constructed for analysis. In the following process, three types of data, including mRNA, miRNA and lncRNA, were input from a total of 177 samples of pancreatic cancer patients. The sample data came from the TCGA database (https: / / www.cancer.gov / tcga).

[0050] The biological data network processing method based on the similarity network fusion algorithm provided by this embodiment includes:

[0051] (1) Construct the sample similarity matrix and sample similarity network corresponding to each type of sample data;

[0052] Suppose the sample data set is {x 1 ,x 2 ,...,x n}, the sample data set contains a total of M types of sample dat...

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Abstract

The invention discloses a biological data network processing method based on a similarity network fusion algorithm, and belongs to the technical field of biological information analysis. The method comprises the following steps: firstly, constructing a similarity network by using mRNA, miRNA, lncRNA and the like, fusing similarity matrixes by using an SNF algorithm, creating an available sample network, performing clustering by using spectral clustering, and analyzing the relationship between the networks, so that the method is applied to the fields of discovery, early diagnosis, later treatment and the like of disease pathogenesis. According to the method, a more comprehensive result can be obtained by utilizing the complementarity of different types of data, the method is greatly superior to analysis and establishment of single data, and a basis is established for subsequent comprehensive analysis.

Description

technical field [0001] The invention relates to a biological data network processing method based on a similarity network fusion algorithm, belonging to the technical field of biological information analysis. Background technique [0002] Along with the development of the Human Genome Project, bioinformatics is also improving and developing rapidly. The development of high-throughput sequencing technology has promoted a more comprehensive and in-depth genome analysis. With the continuous reduction of sequencing costs and the continuous accumulation of multi-omics data including genomics and transcriptomics, massive biological data is helpful to comprehensively and effectively mine the biological knowledge contained in it, providing a basis for bioinformatics analysis. Provides a wealth of data resources, but also brings new challenges. With the continuous accumulation of biological data with big data characteristics and the opening of the strategic plan for precision medic...

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Application Information

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IPC IPC(8): G16B20/00G16B40/00
CPCG16B20/00G16B40/00
Inventor 刘伟郑明霞赵溶丁彦蕊
Owner JIANGNAN UNIV
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