BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Pengyu Liu (University of Rhode Island) DTSTART:20261002T160000Z DTEND:20261002T170000Z DTSTAMP:20261019T010259Z UID:GEOTOP-A/134 DESCRIPTION:Title: Tree polynomial encoding of structural data in life sciences\nby Pe ngyu Liu (University of Rhode Island) as part of GEOTOP-A seminar\n\n\nAbs tract\nAdvancements in sequencing technologies have produced a wealth of g enomic data. Through recent methods enabled by the development of artifici al intelligence\, these data can be converted\, for example\, into phyloge nies that reflect evolutionary history\, or into molecular structures that reveal biological functions and properties. While analyzing the resulting structural data can advance biological research by providing novel approa ches and insights\, a major challenge is the lack of efficient and accurat e structure encodings. In this talk\, we introduce an encoding technique f rom topological combinatorics that represents tree structures by a series of graph polynomials. We show that these tree-distinguishing polynomials e nable efficient\, accurate and interpretable structure analysis using mode rn data analytics tools. We demonstrate their applications in comparing ph ylogenies and extracting evolutionary information\, as well as predicting and understanding the formation of pathogenic nucleic acid structures.\n LOCATION:https://researchseminars.org/talk/GEOTOP-A/134/ END:VEVENT END:VCALENDAR