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A method and system for determining cancer network markers based on probability model

A network marker and determination method technology, applied in the field of cancer network marker determination method and system based on probability model, can solve the problems of imbalance of positive and negative samples, large noise, few samples, etc., and achieve the effect of accurate diagnosis and treatment

Inactive Publication Date: 2018-12-28
WENZHOU UNIVERSITY
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  • Abstract
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  • Claims
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Problems solved by technology

Due to the shortcomings of traditional gene expression profile data such as large noise, few samples, and imbalance between positive and negative samples, combining expression profile data with biological networks to determine cancer network markers has become a potential solution.

Method used

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  • A method and system for determining cancer network markers based on probability model
  • A method and system for determining cancer network markers based on probability model
  • A method and system for determining cancer network markers based on probability model

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Embodiment Construction

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0052] The present invention provides a method and system for determining cancer network markers based on a probability model, on the basis of considering the heterogeneity between samples and the differences in diseases among different patients due to factors such as the cause of disease. . The present invention can accurately and effectively acquire cancer network markers, and use these cancer network markers to classify diseases so as to realize accurate di...

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Abstract

The invention discloses a method and a system for determining cancer network markers based on a probability model. The method comprises the following steps: utilizing a probability density function, converting gene expression data matrices of all normal samples and disease samples obtained into likelihood matrices, and constructing a normal sample distribution function according to the likelihoodmatrices of all normal samples; each element in the likelihood matrix of each disease sample is then brought into the normal sample distribution function, the set of significantly different genes foreach disease sample is determined, and the set of significantly different genes for each disease sample is mapped to proteins. Protein-protein interaction networks, and network markers for each disease sample are identified. The method or system provided by the invention can accurately and effectively acquire cancer network markers, and utilize the cancer network markers to carry out subtype classification of diseases so as to realize precise diagnosis and treatment of diseases.

Description

technical field [0001] The invention relates to the technical field of gene detection, in particular to a method and system for determining cancer network markers based on a probability model. Background technique [0002] Existing studies have shown that the occurrence and development of cancer is the result of the joint action of multiple genes. Due to the shortcomings of traditional gene expression profile data such as large noise, few samples, and imbalance between positive and negative samples, combining expression profile data with biological networks to determine cancer network markers has become a potential solution. At the same time, network markers have higher efficiency and stability than previous single-gene markers. Contents of the invention [0003] The present invention provides a method and system for determining cancer network markers based on a probability model, on the basis of considering the heterogeneity between samples and the differences in disease...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/12
Inventor 杜玉改刘文斌
Owner WENZHOU UNIVERSITY
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