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Method for extracting characteristic expression patterns of multiple gene sets

A characteristic expression and gene technology, which is applied in the field of high-throughput biochip gene expression detection, can solve the problems of low accuracy in identifying characteristic expression patterns of gene sets, and inability to detect multiple expression patterns.

Inactive Publication Date: 2009-10-28
NANJING UNIV
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Problems solved by technology

[0003] Purpose of the invention: the technical problem to be solved by the present invention is to provide a method for extracting multiple gene set feature expression patterns in view of the low accuracy of identifying gene set feature expression patterns in the prior art and the inability to detect multiple expression patterns

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  • Method for extracting characteristic expression patterns of multiple gene sets
  • Method for extracting characteristic expression patterns of multiple gene sets
  • Method for extracting characteristic expression patterns of multiple gene sets

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Embodiment Construction

[0042] Such as figure 1 As shown, after the sample is fluorescently labeled, the sample is added to the high-throughput biochip gene expression detection and identification device, and hybridized with the probe on the gene chip; after the hybridization is completed, it is cleaned to remove impurities, and the photoelectric part detects and records the gene expression. Intensity data; the data is preprocessed to generate chip detection data of gene expression; then use such as figure 2 The identified recognition mechanism processes them to identify gene sets with characteristic expression patterns.

[0043] The method of the present invention is as figure 2 shown. Step 1 is the initial action, including the user inputting the gene expression profile chip data to be analyzed (usually a text file stored in a matrix format, each column is a different sample, and each row is the expression value of the gene in the corresponding sample), setting the expression profile chip The ...

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Abstract

The invention discloses a method for extracting characteristic expression patterns of multiple gene sets, which comprises the following steps: inputting chip data; judging a gene set of genes contained in a gene expression spectrum chip; judging whether the number of the genes in each gene set is in the range of the capacity size of the gene set, and if no, abandoning the gene set, otherwise, performing the next step; calculating the monomorphism significance and the polymorphism significance of the gene sets; correcting an original p value; and judging whether the monomorphism significance and the polymorphism significance of the gene sets accord with a threshold value requirement, if no, abandoning the result, and if so, outputting the recognition result. The method can effectively recognize multiple characteristic expression patterns, discriminate ineffective interference noises, and greatly improves the value of gene expression spectrums in practical application.

Description

technical field [0001] The invention relates to a high-throughput biological chip gene expression detection method, in particular to a method for extracting characteristic expression patterns of multiple gene sets by using weighted distribution in gene expression spectrum chip detection, which is used to extract gene sets with obvious biological significance. Background technique [0002] High-throughput biochip detection is an advanced technology for rapid, parallel, and large-scale detection of various processes and states of organisms at all levels. It can be widely used in early warning of diseases, searching for new disease genes, and research on molecular physiology and molecular pathology. One of its key technologies is the recognition of the expression patterns of gene sets. In a certain gene set, the isotropy of gene expression is called monomorphic pattern, and the anisotropy of gene expression is called polymorphic pattern. In the monomorphic mode, the gene expre...

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Application Information

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IPC IPC(8): C12Q1/68
Inventor 顾祖光王进王军玲李捷高翔
Owner NANJING UNIV
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