Swarm intelligence optimization colon cancer cell detector

A technology for colon cancer and cancer cells, applied in instruments, special data processing applications, electrical digital data processing, etc., can solve problems such as difficulty in searching for optimal parameters for optimal feature subset classification of gene microarray data, and achieve fast training speed. , high precision effect

Inactive Publication Date: 2018-11-27
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiency that it is currently difficult to search for the optimal feature subset of gene microarray data and the best parameters for classification, the purpose of the present invention is to provide a colon cancer cancer cell detector for swarm intelligence optimization

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  • Swarm intelligence optimization colon cancer cell detector
  • Swarm intelligence optimization colon cancer cell detector
  • Swarm intelligence optimization colon cancer cell detector

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Embodiment Construction

[0066] The present invention will be described in detail below according to the accompanying drawings.

[0067] refer to figure 1 , a colon cancer cancer cell detection instrument for swarm intelligence optimization, the system consists of a gene microarray read-in module 1, a data preprocessing and feature sorting module 2, a parameter optimization module 3, and a model output module 4; wherein:

[0068] The gene microarray read-in module 1 reads in the category labels of all gene microarrays Y=[y 1 ,y 2 ,...,y m ], where y i =k,k∈(-1,1), and the gene microarray expression values ​​of all samples:

[0069]

[0070] where each line x i Represents the expression values ​​of all genes in a sample, corresponding to each column x j Represents the expression value of a gene in all samples, the subscript i indicates the i-th sample, a total of m, and the subscript j indicates the j-th gene, a total of n.

[0071] The data preprocessing and feature sorting module 2 is the p...

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Abstract

The invention discloses a swarm intelligence optimization colon cancer cell detector. The system comprises a gene microarray reading module, a data preprocessing and feature sorting module, a parameter optimization module and a model output module. The system firstly preprocesses the input gene microarray data, then performs importance sorting on the remaining genes, calculates the correlation bystatistical scores, and then uses a classifier criterion function to calculate the contribution degree to sort importance of all the genes. The improved optimization method adds optimization algorithmpopulation fitness variance monitoring, and can prevent the loss of population diversity and prevent the optimization process from falling into local optimum. Then the searched optimal parameters areused as classifier parameters to complete the model construction and output the results. The system has high precision and intelligence under small sample conditions.

Description

technical field [0001] The invention relates to the technical field of application of gene microarray data, in particular to a colon cancer cancer cell detector for swarm intelligence optimization. Background technique [0002] DNA microarray technology is a high-end technology that has been greatly developed in recent years. By using DNA microarray data, scientists have the opportunity to gain insights into the causes of diseases, explore treatments, and more. Colon cancer is a common malignant tumor of the digestive tract that occurs in the colon. It is more likely to occur at the junction of the rectum and the sigmoid colon. Its incidence rate ranks third among gastrointestinal tumors. Colon cancer is mainly adenocarcinoma, mucinous adenocarcinoma, undifferentiated carcinoma. The general shape is polypoid, ulcerous and so on. Colon cancer can develop circularly along the intestinal wall, spread up and down along the longitudinal diameter of the intestinal canal, or in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/24G06F19/22
Inventor 刘兴高高信腾孙元萌张泽银
Owner ZHEJIANG UNIV
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