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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Seminar on Control Theory and Nonlinear Filtering Visualization for Viral Genome Space
Visualization for Viral Genome Space
Organizer
Shing Toung Yau
Speaker
Minli Feng
Time
Friday, November 17, 2023 9:00 PM - 9:30 PM
Venue
Online
Abstract
Understanding the relationships between genomes plays a crucial role in classification and phylogenetic analysis. As the number of known genomes rockets, alignment-free methods have gained considerable attention. Among these methods, the natural vector method stands out as it represents sequences as vectors using statistical moments, enabling effective clustering based on families. We formulate the selection of optimal weights for the k-mer natural vector method as an optimization problem. Experimental results demonstrate that the utilization of the optimal weight significantly enhances classification accuracy, achieving 92.73% on the testing set. Moreover, the optimal metric enables the visualization for viral genome space, providing valuable insights into genome relationships from a mathematical perspective.
Beijing Institute of Mathematical Sciences and Applications
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