Subarachnoid hemorrhage prediction model establishment method and system based on gene and cell signal pathways

Abstract

The invention provides a subarachnoid hemorrhage prediction model establishment method and system based on gene and cell signal pathways. The method comprises the steps: obtaining normal brain cell group 1 and SAH brain cell gene chip data, and preprocessing; carrying out differential expression analysis and signal path analysis on the data of the normal brain cell group 1 and the SAH brain cell gene chip; carrying out LCN2 intervention on a normal brain cell group 2 and SAH brain cells to obtain RNA-Seq data under different conditions, and preprocessing to form LCN2 data; carrying out differential expression analysis and signal path analysis on the LCN2 data; carrying out feature selection on the differentially expressed gene data obtained through the differential expression analysis to obtain feature gene data; and obtaining a training sample based on the feature gene data, training a plurality of classifiers based on the training sample, integrating the trained classifiers, and establishing a prediction model. According to the method, the subarachnoid hemorrhage model can be accurately established, and the treatment target can be obtained.

Description

technical field [0001] The invention belongs to the technical field of bioinformatics, mainly relates to biological data analysis and biological data mining, in particular to a method and system for establishing a subarachnoid hemorrhage model related to genes and signal pathways. Background technique [0002] Subarachnoid hemorrhage refers to the rupture of blood vessels at the base or surface of the brain, and blood flows into the subarachnoid space, with or without bleeding in other parts of the brain or spinal canal. [0003] In the related research on SAH, how to find effective targets that can predict or screen subarachnoid hemorrhage is also an important research direction at present. For example, NiW et al. found that IL-6 could be used as an early marker to predict cerebral vasospasm after SAH; Zhang et al. proved that IL-6 and CRP were involved in the occurrence and development of SAH; Chu et al. showed that HGF and VEGF were involved Pathological damage and repai...

AI Technical Summary

Problems solved by technology

Most of the previous studies were mainly done with the help of clinical medicine and biological experiments, but the research results did not effectively reduce the mortality and disability rates of SAH

However, in the prior art, there are not many relevant studies on the method of establishing the target model of subarachnoid hemorrhage, and through a large number of clinical studies and summaries, the research effect on the target is not ideal, resulting in the lack of research in this field. of studies lack effective and accurate research aids

Images