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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Joint and Individual Variation Explained (JIVE) - 
 James Marron (University of North Carolina )
DTSTART;TZID=Europe/London:20160729T110000
DTEND;TZID=Europe/London:20160729T120000
UID:TALK66902AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/66902
DESCRIPTION:A major challenge in the age of Big Data is the in
 tegration of disparate data types into a data anal
 ysis.&nbsp\; That is tackled here in the context o
 f data blocks measured on a common set of experime
 ntal subjects.&nbsp\; This data structure motivate
 s the simultaneous exploration of the joint and in
 dividual variation within each data block.&nbsp\; 
 This is done here in a way that scales well to lar
 ge data sets (with blocks of wildly disparate size
 )\, using principal angle analysis\, careful formu
 lation of the underlying linear algebra\, and diff
 ering outputs depending on the analytical goals.&n
 bsp\; Ideas are illustrated using mortality\, canc
 er and neuroimaging data sets.&nbsp\; This talk re
 veals several new challenges in network analysis\,
  from a post-JIVE network analysis on the original
  data types\, to an integration of network methods
  into the heart of the JIVE methodology.
LOCATION:Seminar Room 2\, Newton Institute
CONTACT:INI IT
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