Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Gene classification method and device

A classification method and gene technology, applied in the fields of instruments, computing, biostatistics, etc., can solve problems such as inability to effectively remove redundant or invalid genes

Active Publication Date: 2022-04-08
HENAN NORMAL UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a gene classification method and device for solving the problem that the prior art cannot effectively remove redundant or invalid genes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Gene classification method and device
  • Gene classification method and device
  • Gene classification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0045] A gene classification method of the present invention comprises the following steps:

[0046] 1) According to the coefficient of variation of the set gene, the attribute weighting algorithm is used to configure the weight coefficient for each gene in the gene sample, and the top N are selected in sequence according to the order of the weight coefficient from large to small 1 genes as a candidate gene set.

[0047] 2) Using an ant colony algorithm to select an optimal subset from the candidate gene set as a gene subset, and use the gene subset to classify genes.

[0048] The present invention first improves the traditional attribute weighting algorithm, sets the variation coefficient of the gene, and uses the attribute weighting algorithm to initially screen out N 1 A gene is used as a candidate gene set, and then re-screened in the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a gene classification method and device. According to the variation coefficient of the set gene, an attribute weighting algorithm is used to configure a weight coefficient for each gene in the gene sample, and the top N are selected in sequence according to the order of the weight coefficient from large to small. 1 genes as the candidate gene set; use ant colony algorithm to select the optimal gene subset in the candidate gene set, and use the gene subset to classify genes. The present invention first adopts the attribute weighting algorithm to preliminarily screen the candidate gene set, and then screens the candidate gene set again, and uses the ant colony algorithm to select a gene subset in the candidate gene set, effectively removing redundant or invalid genes.

Description

technical field [0001] The invention belongs to the technical field of gene classification, and in particular relates to a gene classification method and device. Background technique [0002] The classification of genetic data is a research focus and hot issue in the field of information and decision-making. Due to the characteristics of small samples, high dimensionality, high noise, and high redundancy, traditional data analysis methods may face long time-consuming and low classification accuracy. Insufficiency and other issues. Due to these characteristics of genetic data, genetic data processing is a necessary step to achieve efficient, accurate and reliable classification of gene expression data. [0003] The ReliefF algorithm (attribute weighting algorithm) is a typical Filter method and a highly efficient dimensionality reduction method, which is mainly used to solve problems such as multi-classification, missing data and existence of noise. Its core idea is an attr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G16B40/20G06K9/62
Inventor 孙林孔祥琳陈清利翟瑞冰刘延李源赵婧秦小营殷腾宇王学敏
Owner HENAN NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com