BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:100 years after William Bateson - what can we learn about epistasi
 s by today's statistical machine learning? - Professor Jukka Corander\, Ba
 yesian Statistics Group\, University of Helsinki
DTSTART:20160504T150000Z
DTEND:20160504T160000Z
UID:TALK65361@talks.cam.ac.uk
CONTACT:Fiona Roby
DESCRIPTION:Roughly 100 years ago William Bateson coined the term epistasi
 s\, which is today generally considered as a form of interaction between t
 wo loci in DNA. Research in epistasis has over the years revealed fascinat
 ing biological insights\, however\, until very recently\, progress has bee
 n slowed by limited availability of densely sampled population data. Given
  the advent of Illumina's latest sequencing technology we are finally faci
 ng a possibility to query what experiments nature has performed concerning
  epistasis. I will present latest research results on how we can advance u
 nderstanding about epistasis in genomes by exploiting core concepts from s
 tatistical physics and statistical machine learning algorithms for ultra-h
 igh dimensional models.
LOCATION:Lecture Theatre 2\, Department of Veterinary Medicine
END:VEVENT
END:VCALENDAR