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Method for survival time analysis fusing DNA methylation characteristics

A technology of survival time and analysis method, applied in the field of survival time analysis of fusion DNA methylation features, can solve the problems of neglected genes and inaccurate results, and achieve the effect of improving the prediction effect

Inactive Publication Date: 2017-10-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Traditional cancer survival analysis methods use the Kaplan-Meier method, which is also called the limit product method. This method directly uses the conditional probability formula in probability theory to analyze the survival data and estimate the probability of survival. The data studied are generally clinical data or gene expression data of cancer patients, and the relationship between clinical data characteristics and genes and the survival rate of cancer patients is analyzed. However, the results of survival analysis using clinical data are often not accurate enough, while gene expression data is used for survival Analysis often ignores important genes, so traditional survival analysis methods have certain limitations

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  • Method for survival time analysis fusing DNA methylation characteristics
  • Method for survival time analysis fusing DNA methylation characteristics
  • Method for survival time analysis fusing DNA methylation characteristics

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[0039] For the convenience of description, the relevant technical terms appearing in the specific implementation are explained first:

[0040] TCGA (The Cancer Genome Atlas): cancer database;

[0041] BLCA (Bladder Cancer): bladder cancer;

[0042] C-index (Index of Concordance): consistency index;

[0043] figure 1 It is a flowchart of a survival time analysis method fused with DNA methylation features of the present invention.

[0044] In this embodiment, bladder cancer (BLCA) is obtained from the cancer genome public database TCGA as an example for illustration. like figure 1 Shown, a kind of survival time analysis method of fusion DNA methylation characteristic of the present invention comprises the following steps:

[0045] S1. Obtain clinical data, gene expression data, and DNA methylation data of a cancer from the TCGA database;

[0046] In this embodiment, the acquired clinical data of bladder cancer includes tumor status data, lymphatic vessel invasion status da...

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Abstract

The invention discloses a method for survival time analysis fusing DNA methylation characteristics. Three kinds of characteristic data are obtained from a TCGA database, some characteristics which are of great importance to cancers are obtained by performing characteristic selection on the three kinds of characteristic data through a K-split Lasso-based characteristic selection algorithm, and then COX regression is performed on these characteristics to obtain a regression model. When new characteristic data is available, the survival time probability of a cancer patient can be obtained only by inputting these characteristic data into the regression model, and thus the method is of great significance for cancer prognosis.

Description

technical field [0001] The invention belongs to the technical field of cancer survival analysis, and more specifically relates to a survival time analysis method integrated with DNA methylation features. Background technique [0002] Generally speaking, survival analysis is a statistical method, which is a method of correlation analysis after combining survival time and many factors that affect survival time. Traditional cancer survival analysis methods use the Kaplan-Meier method, which is also called the limit product method. This method directly uses the conditional probability formula in probability theory to analyze the survival data and estimate the probability of survival. The data studied are generally clinical data or gene expression data of cancer patients, and the relationship between clinical data characteristics and genes and the survival rate of cancer patients is analyzed. However, the results of survival analysis using clinical data are often not accurate eno...

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Application Information

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IPC IPC(8): G06F19/24G06F19/20G06F19/28
CPCG16B25/00G16B40/00G16B50/00
Inventor 邹见效杨非凡时财徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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