计算机科学
数据科学
蛋白质组学
标杆管理
过程(计算)
钥匙(锁)
计算生物学
生物
生物化学
计算机安全
营销
业务
基因
操作系统
作者
Sophia M. Guldberg,Trine Line Hauge Okholm,Elizabeth McCarthy,Matthew H. Spitzer
出处
期刊:Annual review of biomedical data science
[Annual Reviews]
日期:2023-04-11
卷期号:6 (1): 47-71
被引量:4
标识
DOI:10.1146/annurev-biodatasci-020422-050255
摘要
Advances in single-cell proteomics technologies have resulted in high-dimensional datasets comprising millions of cells that are capable of answering key questions about biology and disease. The advent of these technologies has prompted the development of computational tools to process and visualize the complex data. In this review, we outline the steps of single-cell and spatial proteomics analysis pipelines. In addition to describing available methods, we highlight benchmarking studies that have identified advantages and pitfalls of the currently available computational toolkits. As these technologies continue to advance, robust analysis tools should be developed in tandem to take full advantage of the potential biological insights provided by these data.
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