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生物信息讨论班
Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods
Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods
组织者
演讲者
石想
时间
2024年03月18日 14:30 至 15:00
地点
理科楼A-304
摘要
This paper demonstrates the utility of using algorithmic approaches based on word-statistics to represent whole sequences, bringing speed, scalability, and interpretability to the construction of genetic topologies. While not serving as a substitute for current phylogenetic analyses, the proposed methods can be used as a complementary, and fully automatable, approach to identify and confirm new emerging variants.