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Tumor feature gene selection method combining mRNA and microRNA expression profile chips

A tumor feature gene and feature gene technology, applied in the field of biomedical data analysis, can solve the problems of revealing tumor molecular biology changes, difficult to fully play an effective role, etc.

Inactive Publication Date: 2016-01-13
LISHUI UNIV
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Problems solved by technology

[0010] The present invention provides a tumor characteristic gene selection method combined with mRNA and microRNA expression profile chips, which solves the defect that the existing technology often only considers the data of one platform, and it is difficult to reveal tumor-related molecular biological changes from multiple levels and perspectives , and the problem that a single platform is difficult to fully play an effective role in understanding the occurrence and development mechanism of tumors and developing molecular markers and therapeutic targets for diagnosis and prognosis

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  • Tumor feature gene selection method combining mRNA and microRNA expression profile chips
  • Tumor feature gene selection method combining mRNA and microRNA expression profile chips
  • Tumor feature gene selection method combining mRNA and microRNA expression profile chips

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Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] refer to figure 1 , the method of the present invention is based on the mixed model of tumor characteristic gene selection combined with mRNA and microRNA expression profile chip, the setting of this model is, at first, use multiple filter to select respective characteristic gene in mRNA and microRNA expression profile chip respectively, use multiple The filtering index of each filter ensures that useful biomarkers are not excluded during the initial filtering stage. Second, the acquired mRNA and microRNA signature genes are combined to form a gene pool. Finally, the genetic algorithm is used to further select genes, the purpose is to eliminate redundant genes and search for an optimal subset, which has fewer genes and better classification performance.

[0021] The setup characteristics of this (tumor eigengene selection mixed model...

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Abstract

The invention discloses a tumor feature gene selection method combining mRNA and microRNA expression profile chips. The method is implemented by the following steps of step 1, by using the mRNA and microRNA expression profile chips, detecting expression values of a large amount of genes, by adopting a filtration feature gene selection method, ranking relevance of all the genes, removing a large amount of low-relevance genes, and leaving a small amount of genes that are closely related to tumor classification; step 2, combining mRNA and microRNA feature genes obtained by adopting the filtration feature gene selection method to form a gene pool U; and step 3, by adopting a genetic algorithm, further selecting genes for the gene pool, eliminating redundant genes, and performing a search to obtain an optimal gene set S with optimal features. The method is simple in step and high in result accuracy.

Description

technical field [0001] The invention belongs to the technical field of biomedical data analysis, and relates to a tumor characteristic gene selection method combined with mRNA and microRNA expression spectrum chips. Background technique [0002] The current rapid development of gene chip technology has the advantage of high throughput, which provides a systematic research method for tumor research. The etiology of tumors is complex, involving changes at the genome level, gene regulation level, and epigenetic level. It is difficult to conduct comprehensive research using traditional methods. Gene chip technology can be used to distinguish the classification markers of various common tumors, and to help discover tumors. New types and new disease biomarkers related to tumors, so the use of gene chip technology has obvious advantages. [0003] The mRNA expression profile chip can detect the expression values ​​of thousands of genes at a time, and is the earliest gene chip produ...

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Application Information

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IPC IPC(8): G06F19/18
Inventor 李小波
Owner LISHUI UNIV
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