Screening method of characteristic gene of certain disease

A technology of characteristic genes and diseases, which is applied in the field of biostatistics for the screening of small samples and characteristic genes, to achieve the effect of reducing the effective dimension

Inactive Publication Date: 2011-03-30
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

The application of PCA method to gene chip research at home and abroad is still in the preliminary stage

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  • Screening method of characteristic gene of certain disease
  • Screening method of characteristic gene of certain disease
  • Screening method of characteristic gene of certain disease

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Embodiment 1: the basic steps are:

[0028] The principal component analysis method and the Fourier transform-based support vector machine classification method are used for screening, including the following steps:

[0029] (1) Use principal component analysis to reduce the dimensionality of the genes of the colon cancer disease in the samples to be analyzed (the object of analysis is 2000×62 matrix fluorescence data (where the rows represent gene types, 22 columns of normal samples, and 44 columns of patient samples), so that the gene expression Space reduction, when the contribution rate is above 78%-88%, the feature value and contribution rate are used as classification factors to screen the characteristic genes of a certain disease, and reasonably reduce the effective dimension of the gene expression space;

[0030] Find the correlation coefficient matrix of all genes, and find the eigenvalue and eigenvector of this matrix; use the idea that the eigenvalue is the v...

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Abstract

The invention provides a screening method of the characteristic gene of a certain disease. A gene expression profile is analyzed from a brand-new angle. Firstly, main ingredient analysis is carried out for reducing dimensions; under the condition that the contribution rate is 99%, a characteristic value and the contribution rate serve as classification factors to screen the characteristic gene of an oncogene and reasonably lower the effective dimensionality of gene expression space; on the basis of main ingredient analysis, Fourier transform and support vector base on the basis of a complex field effectively classify and distinguish samples; the main ingredient analysis is innovatively combined, and data processing of changing a real number field into the complex field is carried out; the frequency is recorded, and the bigger the frequency is, the better the classification result is; the gene label is reasonably and effectively extracted. The invention can be applied in the field of biological diseases, such as gene classification and distinguishing, can be applied in the field of meteorological geography, such as meteorological observation and has obvious effects and higher practical value.

Description

technical field [0001] The invention belongs to the field of bioengineering, specifically a method suitable for extracting biological gene labels, that is, a method for screening characteristic genes of a certain disease, and relates to the processing of small samples, high-throughput, and high-dimensional data by biostatistics . Background technique [0002] With the development of large-scale gene expression profile (Gene expression profile, or gene expression profile) technology, the normal gene expression of various human tissues has been obtained, and the gene expression profile of various patients has a reference benchmark , so the analysis and modeling of gene expression data has become an important topic in the field of bioinformatics research. If the gene expression profile can be used to accurately identify tumor subtypes at the molecular level, it will be of great significance for the diagnosis and treatment of tumors. Because each tumor has a characteristic exp...

Claims

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Application Information

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IPC IPC(8): G06F19/10
Inventor 王华梁素梅王建军孟华李红娟
Owner KUNMING UNIV OF SCI & TECH
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