期刊
CHEMICAL COMMUNICATIONS
卷 55, 期 5, 页码 616-619出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c8cc08296k
关键词
-
资金
- US National Institutes of Health (NIH) [R01GM116116, R21CA204706]
- National Science Foundation Major Research Instrumentation program [NSF-MRI 1626372]
Combined single cell mass spectrometry and machine learning methods is demonstrated for the first time to achieve rapid and reliable prediction of the phenotype of unknown single cells based on their metabolomic profiles, with experimental validation. This approach can be potentially applied towards prediction of drug-resistant phenotypes prior to chemotherapy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据