计算机科学
聚类分析
机器学习
免疫系统
数据科学
降维
人工智能
医学
免疫学
作者
Jingxuan Zhang,Jia Li,Lin Lin
标识
DOI:10.1080/21645515.2023.2234792
摘要
Immunoprofiling has become a crucial tool for understanding the complex interactions between the immune system and diseases or interventions, such as therapies and vaccinations. Immune response biomarkers are critical for understanding those relationships and potentially developing personalized intervention strategies. Single-cell data have emerged as a promising source for identifying immune response biomarkers. In this review, we discuss the current state-of-the-art methods for immunoprofiling, including those for reducing the dimensionality of high-dimensional single-cell data and methods for clustering, classification, and prediction. We also draw attention to recent developments in data integration.
科研通智能强力驱动
Strongly Powered by AbleSci AI