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DTSTART:20190331T030000
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DTSTART:20191027T020000
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BEGIN:VEVENT
DTSTAMP:20260405T232533Z
UID:5c3337d55d11b931559757@ist.ac.at
DTSTART:20190822T140000
DTEND:20190822T150000
DESCRIPTION:Speaker: Caroline Moosmüller\nhosted by Jan Maas\nAbstract: Bi
 ological data sets\, such as gene expressions or protein levels\, are ofte
 n high-dimensional\, and thus difficult to interpret. Finding important st
 ructural features and identifying clusters in an unbiased fashion is a cor
 e issue for understanding biological phenomena. In this talk\, we describe
  methods to score periodicity of time series which can be applied to biolo
 gical processes such as the cell cycle. We consider trending\, damping and
  local vs. global time dependence. Furthermore\, we discuss clustering alg
 orithms based on optimal transport to classify time signals based on their
  overall periodicity.
LOCATION:Heinzel Seminar Room / Office Bldg West (I21.EG.101)\, ISTA
ORGANIZER:boosthui@ist.ac.at
SUMMARY:Caroline Moosmüller: Periodicity scoring of time series
URL:https://talks-calendar.ista.ac.at/events/2064
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