Cancer-related genes finding method by using miRNA expression data

A technology related to cancer and data discovery, which is applied in the field of data processing and can solve problems such as large amount of calculation and high dimensionality of data

Active Publication Date: 2016-06-22
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for discovering cancer-related genes using miRNA expression data, aiming to solve the problems of high dimensionality and large amount of calculation in the prior art to directly process mRNA gene expression data of complex diseases

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  • Cancer-related genes finding method by using miRNA expression data
  • Cancer-related genes finding method by using miRNA expression data
  • Cancer-related genes finding method by using miRNA expression data

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[0039] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] The present invention utilizes the characteristics of small amount of miRNA expression data and the targeting relationship between miRNA and mRNA to obtain cancer-related genes by analyzing miRNA expression data, thereby solving the problem of excessive data volume when directly using mRNA expression data analysis in the prior art .

[0041] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0042] Such as figure 1 As shown, the method for discovering cancer-related genes using miRNA expression data in the embodiments of the present ...

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Abstract

The present invention discloses a cancer-related genes finding method by using miRNA expression data, based on a pan-cancer program PanCancer under The Cancer Genome Atlas (TCGA), and uses statistical analysis and a machine learning algorithm to carry out analysis and processing on the gene expression data, and to identify complex diseases related genes. The method comprises: sorting out sample data; carrying out statistical analysis on the miRNA expression data; sorting miRNA in order of an average change rate; selecting a target gene; extracting a corresponding disease sample and normal sample; and using a Relief algorithm to sort genes in the extracted miRNA sample. The method disclosed by the present invention can find a plurality of risk genes related to cancer and other complex diseases, and has important significance to a biological target therapy, biomedical research, pathogenesis explanation, risk prediction, and the like.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method for discovering cancer-related genes by using miRNA expression data. Background technique [0002] Bioinformatics is an emerging discipline combining life science and computer science, which studies the collection, processing, storage, dissemination, analysis and interpretation of biological information, and reveals complex biological information through the comprehensive use of biology, computer science and information technology. Biological mysteries hidden in data. Genes are the carriers of genetic information, and the exploration of genes will help to deepen the understanding of diseases. There are currently more than 20,000 genes known to humans, and the mRNA gene expression data obtained from the corresponding sequencing data has reached more than 20,000 dimensions, and the genes related to each disease are different. Some disease-related genes...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/22
CPCG16B30/00
Inventor 杨利英曹阳袁细国张军英
Owner XIDIAN UNIV
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