BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Statistical challenges posed by heterogeneous data from immunology
  and microbiology - Professor Susan Holmes from Stanford University 
DTSTART:20200615T090000Z
DTEND:20200615T101500Z
UID:TALK142855@talks.cam.ac.uk
CONTACT:Anna Toporska
DESCRIPTION:The human microbiome is a complex assembly of bacteria that ar
 e sensitive to many perturbations. Subject to subject differences are the 
 primary source of variation. Thus carefully designed perturbation experime
 nts using longitudinal sampling provide the best approach for discovering 
 the main drivers of resilience and recovery. Prof Holmes and her collabora
 tors have developed specific tools for studying the vaginal\, intestinal a
 nd oral microbiomes under different perturbations (pregnancy\,  hypo-saliv
 ation inducing medications and antibiotics are some examples). In her talk
 \, prof Holmes will show how the tools use hierarchical nonparametric geom
 etric and network-based methods. Challenges that have been addressed inclu
 de information leaks\, the integration of phylogenetic information\, testi
 ng in the presence of longitudinal dependencies and uncertainty quantifica
 tion. The methods enable the detection of changepoints\, ecological gradie
 nts and their uncertainty quantification\, as well as the integration of t
 ree-aware multivariate representations.\nThis contains joint work with  La
 n Huong Nguyen\, Pratheepa Jeganathan\, Claire Donnat\, Sergio Bacallado\,
  Ben Callahan\, Julia Fukuyama\, Christof Seiler\, Kris Sankaran and David
  Relman's Lab.\n\n
LOCATION:ZOOM (live)
END:VEVENT
END:VCALENDAR