首页>
外国专利>
Precursor selection using an artificial intelligence algorithm increases proteomic sample coverage and reproducibility
Precursor selection using an artificial intelligence algorithm increases proteomic sample coverage and reproducibility
展开▼
机译:使用人工智能算法的前体选择增加了蛋白质组样品的覆盖率和可重复性
展开▼
页面导航
摘要
著录项
相似文献
摘要
Described herein are mass spectrometry systems and methods which utilize a dynamic a new data acquisition/instrument control methodology. These systems and methods employ novel artificial intelligence algorithms to greatly increase quantitative and/or identification accuracy during data acquisition. In an embodiment, the algorithms can adapt the instrument methods and systems during data acquisition to direct data acquisition resources to increase quantitative or identification accuracy of target analytes, such as proteins, peptides, and peptide fragments.
展开▼