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TZID:Europe/Vienna
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DTSTART:20180325T030000
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DTSTART:20171029T020000
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DTSTAMP:20260424T041157Z
UID:5a829c3a50473231175127@ist.ac.at
DTSTART:20180306T090000
DTEND:20180306T100000
DESCRIPTION:Speaker: Maria Chikina\nhosted by Nick Barton\nAbstract: Genome
  scale molecular datasets are often highly structured\, with many correlat
 ed observations. This general phenomenon can be related to the underlying 
 data generating process. In gene expression assays\, groups of gene are co
 -regulated through shared transcription factors and signaling pathways. Li
 kewise\, for evolutionary data\, correlated substitution rates arise due t
 o shared evolutionary pressure.  In the first half of the talk we will pre
 sent a  new constrained matrix decomposition approach that directly aligns
  a lower dimension representation with known biological pathways. Our meth
 od provides state-of-the-art accuracy in reconstructing known upstream var
 iables through a biologically interpretabile decomposition. In the second 
 half we will discuss a computational approach for modeling the relationshi
 p between phenotypes and evolutionary rates and present new results on evo
 lutionary correlates of life-history traits.
LOCATION:Big Seminar room Ground floor / Office Bldg West (I21.EG.101)\, IS
 TA
ORGANIZER:pdelreal@ist.ac.at
SUMMARY:Maria Chikina: Exploiting data structure: from gene expression to e
 volution
URL:https://talks-calendar.ista.ac.at/events/1120
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