首页|Tsinghua University Reports Findings in Machine Learning (Descriptor-augmented m achine learning for enzyme-chemical interaction predictions)
Tsinghua University Reports Findings in Machine Learning (Descriptor-augmented m achine learning for enzyme-chemical interaction predictions)
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 Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Descriptors play a pi votal role in enzyme design for the greener synthesis of biochemicals, as they c ould characterize enzymes and chemicals from the physicochemical and evolutionar y perspective. This study examined the effects of various descriptors on the per formance of Random Forest model used for enzyme-chemical relationships prediction.”
BeijingPeople’s Republic of ChinaAsi aChemicalsCyborgsEmerging TechnologiesEnzymes and CoenzymesMachine Lea rning