BIMSA > Seminar on Bioinformatics 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
Organizer
Shing Toung Yau
Speaker
Xiang Shi
Time
Monday, March 18, 2024 2:30 PM - 3:00 PM
Venue
理科楼A-304
Abstract
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.