首页|Studies from Fox Chase Cancer Center Reveal New Findings on Machine Learning (Vs creenml V2.0: Improved Machine Learning Classification for Reducing False Positi ves In Structure-based Virtual Screening)
Studies from Fox Chase Cancer Center Reveal New Findings on Machine Learning (Vs creenml V2.0: Improved Machine Learning Classification for Reducing False Positi ves In Structure-based Virtual Screening)
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 – A new study on Machine Learning is now available. According to news originating fromPhiladelphia, Pennsylvania, by Ne wsRx correspondents, research stated, “The enthusiastic adoption ofmake-on-dema nd chemical libraries for virtual screening has highlighted the need for methods that deliverimproved hit-finding discovery rates. Traditional virtual screenin g methods are often inaccurate, withmost compounds nominated in a virtual scree n not engaging the intended target protein to any detectableextent.”
PhiladelphiaPennsylvaniaUnited State sNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningFox Chase Cancer Center
NETL
NSTL
