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Method for identifying significantly different expressed genes

A technology of differentially expressed genes and genes, which is applied in the field of high-throughput biochip gene expression detection, can solve the problems of low accuracy in identifying significantly expressed gene sets and excessive detection times, and achieve excellent recognition effects, increased value, and high accuracy rate effect

Inactive Publication Date: 2012-06-13
NANJING UNIV
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Problems solved by technology

[0003] Purpose of the invention: The main purpose of the present invention is to provide a method for identifying significantly differentially expressed gene sets based on the weighted distribution of expression values ​​for the problems of low accuracy in identifying significantly expressed gene sets in the prior art and excessive requirements for detection times

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  • Method for identifying significantly different expressed genes
  • Method for identifying significantly different expressed genes
  • Method for identifying significantly different expressed genes

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, the invention is further explained.

[0027] 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, preprocess the data to generate gene expression microarray data. Such as figure 2 , which are then processed by the identification mechanism to identify sets of genes with significant expression changes.

[0028] The method of the present invention is as figure 2 shown. Step 1 is the initial action, including user settings and input data; Step 2 assigns the genes contained in the chip to each gene set; Step 3 judges whether the number of genes in each gene set is greater than the number defined in the set...

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Abstract

The invention discloses a process for identifying significantly differential expression gene sets, which comprises the following steps, firstly setting and inputting data, secondly vesting genes to each gene set, thirdly checking whether the number of genes in each gene is larger than the defined number which is set, if the result is not, then abandoning the gene set, fourthly calculating expression variability index of each gene, fifthly using all genes on a whole chip as background genes, and calculating the expression variability index of the background genes, sixthly randomly sampling from the background genes, and checking the significance of the E value of each gene set, and seventhly outputting the gene set which meets the threshold value requirement as the identification result according to the threshold values of the set E value and p value. The process of the invention has excellent identification effect for large gene sets, guarantees higher accuracy under the condition of fewer detecting times, and greatly increases the value of gene expression values in practical application.

Description

technical field [0001] The invention relates to a high-throughput biochip gene expression detection method, in particular to a method for identifying a significantly differentially expressed gene set in gene expression spectrum chip detection. 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 identification of significantly differentially expressed gene sets. The current method for identifying differentially expressed gene sets is to perform a t-test on the gene expression values ​​and sort them by t value, and compare them with the statistical results of random rearrangement samples to identify significantly changed gene sets. The problem with this ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/68G06F19/18
Inventor 王进顾祖光杨嵘张辰宇
Owner NANJING UNIV
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