Intelligent leukemia cancer cell detection instrument

A technology for leukemia and cancer cells, applied in the application field of gene microarray data, can solve the problem of finding the best parameters for the optimal feature subset classification of gene microarray data, etc.

Inactive Publication Date: 2018-10-12
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the current difficulty in searching for the optimal feature subset of gene microarray data and the deficiencies of the best parameters for classification, the purpose of the present invention is to provide an intelligent leukemia cancer cell detector

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  • Intelligent leukemia cancer cell detection instrument
  • Intelligent leukemia cancer cell detection instrument
  • Intelligent leukemia cancer cell detection instrument

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Embodiment Construction

[0050] The present invention will be described in detail below according to the accompanying drawings.

[0051] refer to figure 1 , an intelligent leukemia cancer cell detector, 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:

[0052] Gene microarray read-in module 1, which 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:

[0053]

[0054] 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.

[0055] The data preprocessing and feature sorting module 2 is the process of normalizing and feature so...

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Abstract

The invention discloses an intelligent leukemia cancer cell detection instrument. A system consists of a gene micro-array reading module, a data preprocessing and feature sorting module, a parameter optimization module and a model output module. According to the system, firstly input gene micro-array data is preprocessed; secondly residual genes are subjected to importance sorting, and gene correlation is calculated through statistical scores; and thirdly a contribution degree is calculated by utilizing a classifier criterion function, and all genes are subjected to the importance sorting. Inan improved optimization method, fitness detection and population disturbance are added in an original intelligent optimization algorithm, so that the population diversity loss can be prevented and the optimization process can be prevented from falling into local optimum. A searched optimal parameter serves as a classifier parameter to finish model building and a result is output. The system has very high de-correlation and high precision.

Description

technical field [0001] The invention relates to the technical field of gene microarray data application, in particular to an intelligent leukemia cancer cell detector. Background technique [0002] DNA microarray is also called DNA array or DNA chip, and the more popular name is gene chip. It is a special glass slide with DNA microarray (micorarray) coating. Thousands or tens of thousands of nucleic acid probes are installed on an area of ​​several square centimeters. After one test, a large amount of gene sequence related information can be provided. It is a tool for genomics and genetics research. Researchers can quantitatively analyze the expression levels of a large number (thousands) of genes at the same time by applying gene chips, which has the ability of rapid, accurate and low-cost biological analysis and testing. Among them, the cDNA microarray (cDNA-microarray), which can be used to detect the degree of gene expression, has begun to be commercialized, and the ma...

Claims

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Application Information

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IPC IPC(8): G06F19/18G06N3/00
CPCG06N3/006G16B20/00
Inventor 刘兴高高信腾
Owner ZHEJIANG UNIV
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