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Seminar on Bioinformatics
Determining Genome or Protein Composition Using Natural Vectors and Convex Hulls
Determining Genome or Protein Composition Using Natural Vectors and Convex Hulls
Organizer
Speaker
Time
Sunday, June 16, 2024 2:30 PM - 3:00 PM
Venue
理科楼A-304
Abstract
Despite advancements in sequencing technology, genome and protein sequences available are just a fraction of nature. Predicting new sequences from existing data remains challenging. This paper uses the natural vector method and convex hull principle to determine nucleotide or amino acid composition of new sequences. Our optimization-based algorithm, validated with SARS-CoV-2 datasets, accurately predicts nucleotide or amino acid counts using second-order natural vectors.
Speaker Intro
Xiaopei Jiao received his bachelor's degree from the Zhiyuan College of Shanghai Jiao Tong University and his Ph.D. from the Department of Mathematical Sciences at Tsinghua University. He subsequently worked as a postdoctoral researcher at the Beijing Institute of Mathematical Sciences and Applications (BIMSA) and at the University of Twente in the Netherlands. His current research interests include finite-dimensional filtering theory, Yau-Yau filtering methods, physics-informed neural networks, and bioinformatics. His research focuses primarily on: (1) using geometric tools such as Lie algebras for solving partial differential equations and classifying nonlinear systems; (2) designing novel numerical algorithms based on physics-informed neural networks.