首页|Dalian Polytechnic University Reports Findings in Machine Learning (Prediction o f mass spectrometry ionization efficiency based on COSMO-RS and machine learning algorithms)
Dalian Polytechnic University Reports Findings in Machine Learning (Prediction o f mass spectrometry ionization efficiency based on COSMO-RS and machine learning algorithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting fromDalian, People’s Republic of China, by NewsRx journalists, research stated, “Non-targeted analysis of highresolution mass spectrometry (MS) can identify thousands of compounds, which also gives a huge challengeto their quantification. The aim of this study is to investigat e the impact of mass spectrometry ionizationefficiency on various compounds in food at different solvent ratios and to develop a predictive modelfor mass spec trometry ionization efficiency to enable non-targeted quantitative prediction of unknowncompounds.”
DalianPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
