Study on Cell Classification of Single-cell RNA Sequencing Data under Privacy Protection
10.3969/j.issn.1673-6036.2024.10.016
- VernacularTitle:隐私保护下单细胞RNA测序数据细胞分类研究
- Author:
Wenjia XU
1
;
Mengjie CEN
;
Liang CHEN
Author Information
1. 上海交通大学医学院附属仁济医院 上海 200127
- Keywords:
trusted execution environment(TEE);
single-cell RNA sequencing(scRNA-seq);
single cell classification;
pri-vacy protection
- From:
Journal of Medical Informatics
2024;45(10):86-89
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To develop a secure single-cell RNA sequencing(scRNA-seq)classification method,which can enhance data analysis precision and ensure the security of sensitive information,and to promote the application of scRNA-seq technology in various fields.Method/Process The paper proposes a solution based on trusted execution environment(TEE).The training data is encrypted and transmitted to TEE.It is decrypted in a secure and isolated environment,while training the model to obtain the trained model parameters.Automated cell type i-dentification using neural networks(ACTINN)and support vector machine(SVM)are used for cell classification in both TEE and traditional plain-text environments.The results are compared and analyzed.Result/Conclusion The results show that the F1 score of the two classification models in TEE environment reaches 0.904 and 0.879,respectively,which is comparable to the performance in traditional plaintext environment.The secure ex-ecution environment provided by TEE has extremely limited impact on the accuracy and efficiency of the models.This is of great significance for see-king both secure and efficient data processing solutions in scenarios where sensitive or private data needs to be processed.
