BIMSA > Seminar on Bioinformatics Spectral Cluster Supertree: Fast and Statistically Robust Merging of Rooted Phylogenetic Trees
Spectral Cluster Supertree: Fast and Statistically Robust Merging of Rooted Phylogenetic Trees
Organizer
Shing Toung Yau
Speaker
Xiang Shi
Time
Monday, June 24, 2024 4:00 PM - 4:30 PM
Venue
理科楼A-304
Abstract
The authors introduced Spectral Cluster Supertree, a novel supertree method for merging a set of overlapping rooted phylogenetic trees. It offers significant improvements over Min-Cut supertree in terms of both time complexity and overall topological accuracy, particularly for problems of large size. They perform comparisons against Min-Cut supertree and Bad Clade Deletion. Leveraging two tree topology distance metrics, they demonstrate that while Bad Clade Deletion generates more correct clades in its resulting supertree, Spectral Cluster Supertree's generated tree is generally more topologically close to the true model tree.