首页|Hartwick College Reports Findings in Machine Learning (Barley Grain Proteome Ass essment Using Multi-Environment Trial Data and Machine Learning)
Hartwick College Reports Findings in Machine Learning (Barley Grain Proteome Ass essment Using Multi-Environment Trial Data and Machine Learning)
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 Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Oneonta, New York, by NewsRx editors, research stated, “Proteomics can be used to assessindividual pr otein abundances, which could reflect genotypic and environmental effects and po tentiallypredict grain/malt quality. In this study, 79 barley grain samples (ge notype-location-year combinations)from Californian multi-environment trials (20 17-2022) were assessed using liquid chromatography-massspectrometry.”
OneontaNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningPeptides and ProteinsProteinsProteomeProteomics
NETL
NSTL
