首页|Xi’an Jiaotong-Liverpool University Reports Findings in Machine Learning (m6ACal i: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq)
Xi’an Jiaotong-Liverpool University Reports Findings in Machine Learning (m6ACal i: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq)
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 Suzhou, People’s Repub lic of China, by NewsRx editors, research stated, “We presentm6ACali, a novel m achine-learning framework aimed at enhancing the accuracy of N6-methyladenosine(m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIPSeq.The calibration model serves as a genomic feature-base d classifier that refines the identification ofm6A sites, distinguishing those genuinely present from those that can be detected in in-vitro transcribed(IVT) control experiments.”
SuzhouPeople’s Republic of ChinaAsiaAntibodiesBlood ProteinsCyborgsEmerging TechnologiesImmunoglobulinsI mmunologyMachine LearningProteins
NETL
NSTL
