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

A tumor immune subtype classification method and system

A classification method and tumor technology, applied in the field of bioinformatics and computational biology, can solve problems such as only considering the expression of immune genes, the classification effect of the classification method is not ideal, and the structure of the microbial population and the infiltration of immune cells are not taken into account. Achieve the effect of improving the classification effect

Active Publication Date: 2021-07-02
UNIV OF SCI & TECH BEIJING
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a method and system for classifying tumor immune subtypes to solve the problem that the existing research on immune subtypes often only considers the expression of immune genes, and does not take into account the structure of tissue microbial populations and the infiltration of immune cells. The technical problem that the classification effect of some classification methods is not ideal

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
  • A tumor immune subtype classification method and system
  • A tumor immune subtype classification method and system
  • A tumor immune subtype classification method and system

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0049] This embodiment provides a method for classifying tumor immune subtypes. The method for classifying tumor immune subtypes can be implemented by an electronic device, and the electronic device can be a terminal or a server. The execution flow of the tumor immune subtype classification method is as follows: figure 1 shown, including the following steps:

[0050] S101, acquiring a sample data set including RNA-seq sequencing data and gene expression profile data of multiple tumor tissues;

[0051] S102, calculating microbial abundance data, immune cell ratio data, and immune-related gene expression data in the tumor tissue corresponding to each sample in the sample data set;

[0052] S103, using microbial abundance data, immune cell ratio data and immune-related gene expression data as classification features, constructing a training sample data set, and training an integrated classifier of a preset type;

[0053] S104, input the microbial abundance data, immune cell rat...

no. 2 example

[0171] This embodiment provides a tumor immune subtype classification system, which includes the following modules:

[0172] A sample data set acquisition module, configured to acquire a sample data set including RNA-seq sequencing data and gene expression profile data of multiple tumor tissues;

[0173] The classification feature acquisition module is used to calculate the microbial abundance data, immune cell ratio data and immune-related gene expression data in the tumor tissue corresponding to each sample in the sample data set;

[0174] The model training and classification module is used to use microbial abundance data, immune cell ratio data and immune-related gene expression data as classification features to construct a training sample data set and train a preset type of integrated classifier; and pass the training A good ensemble classifier achieves immune subtype classification of tumor tissue.

[0175] The tumor immune subtype classification system of this embodim...

no. 3 example

[0177] This embodiment provides an electronic device, which includes a processor and a memory; at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor, so as to implement the method of the first embodiment.

[0178] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein at least one instruction is stored in the memory, so The above instruction is loaded by the processor and executes the above method.

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 discloses a tumor immune subtype classification method and system, the method comprising: acquiring a sample data set including RNA-seq sequencing data and gene expression profile data of multiple tumor tissues; Corresponding microbial abundance data, immune cell ratio data, and immune-related gene expression data in the corresponding tumor tissue; use microbial abundance data, immune cell ratio data, and immune-related gene expression data as classification features to construct training sample data set, and use the SMOTE algorithm to expand the minority class, train the random forest model, and improve the random forest model in the form of weighting: increase the weight of the minority class, make the decision tree classifier focus on the minority class, and improve the minority class. class classification accuracy. The invention can improve the accuracy of tumor immune subtype classification and prediction, and provide a new target for tumor immunotherapy.

Description

technical field [0001] The invention relates to the technical fields of bioinformatics and computational biology, in particular to a method and system for classifying tumor immune subtypes. Background technique [0002] The theory that the normal body's immune system can eliminate tumor cells in the process of transformation through an immune response has been used to treat cancer decades ago. On this basis, immunotherapy is applied to the treatment of cancer, that is, to artificially enhance or suppress the immune function of the body to achieve the purpose of treating the disease. But researchers have found that immunotherapy has had little effect in trials related to colorectal and gastric cancer. For highly heterogeneous diseases such as gastric cancer and colorectal cancer, the clinical efficacy of tumor immunotherapy is not satisfactory. The reason for this result is still unclear, but studies have shown that: Tumor heterogeneity: Although patients with the same mali...

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): G16B40/00G16B25/10G06K9/62
CPCG16B40/00G16B25/10G06F18/24323G06F18/214
Inventor 艾冬梅王瑜多李晓鑫
Owner UNIV OF SCI & TECH BEIJING
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