蛋白质组学
工作流程
数据科学
计算机科学
质谱法
化学
色谱法
数据库
生物化学
基因
作者
Wen‐Feng Zeng,Matthias Mann,Maximilian T. Strauss
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2024-01-01
卷期号:: 389-394
标识
DOI:10.1016/b978-0-443-15688-5.00010-3
摘要
Advances in mass spectrometry–based proteomics enable researchers to acquire large-scale datasets with hundreds to thousands of samples. Artificial intelligence (AI) technologies are now applied across the entire proteomics workflow and can be used to distill meaningful insight from clinical proteomics data. While there are still substantial challenges, proteomics-fueled AI has great potential to improve health outcomes.
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