Dimensionality reduction method of DNA methylation spectrum for gastric cancer

Abstract

The invention discloses a dimensionality reduction method of DNA methylation spectrum for gastric cancer. The dimensionality reduction method includes the steps: selecting statistically significant methylation sites by analysis, filtering of insignificant methylation sites, maintaining single-factor, multi-factor statistically significant DNA methylation sites as seed methylation sites, further using consistent cluster analysis, obtaining the number of molecular subtypes with stable clustering results, and finally obtaining several cluster-specific methylation sites by screening and dimensionality reduction. The dimensionality reduction method of DNA methylation spectrum for gastric cancer can effectively reduce the dimensionality of high-dimensional and redundant DNA methylation data, canselect key DNA methylation sites from hundreds of thousands of DNA methylation sites as biomarkers, and has great significance for genetic research and drug development of gastric cancer.

Description

technical field [0001] The invention relates to the technical field of biological data analysis, in particular to a method for dimensionality reduction analysis of DNA methylation profiles of gastric cancer. Background technique [0002] Gastric cancer is a malignant tumor originating from the gastric mucosal epithelium. It ranks first in the incidence of various malignant tumors in my country. There are obvious regional differences in the incidence of gastric cancer. The incidence of gastric cancer in the northwest and eastern coastal areas of my country is significantly higher than that in the southern area. . The age of onset is more than 50 years old, and the ratio of male to female incidence is 2:1. Due to changes in diet structure, increased work pressure, and Helicobacter pylori infection, gastric cancer tends to be younger. Current research reveals that gastric cancer is a genetic disease, which is an evolution process involving the participation of various oncogene...

AI Technical Summary

Problems solved by technology

There are characteristic differentially expressed genes in the process from normal gastric mucosa to precancerous change and from precancerous change to gastric cancer. Molecular pathology combines molecular hybridization technology with histomorphological detection. With the development of immunohistochemistry and molecular biology The pathology of gastric cancer is becoming more and more inseparable from immunology and molecular biology research. At present, many genes and their protein products related to gastric cancer have been explored. The new approach can better reveal the role of tumor tissue growth activity in tumor growth, invasion and metastasis. With the increasing maturity and perfection of gene chip experimental technology, various gene expression profile data are increasing exponentially. The research provided the data basis, but there is a large amount of genetic data, and most of the DNA methylation profile data are useless for specific research in a certain aspect

Images