BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Statistical modelling of networks in disease biology - Sach Mukher
 jee\, MRC Biostatistics Unit Cambridge
DTSTART:20140314T143000Z
DTEND:20140314T153000Z
UID:TALK51094@talks.cam.ac.uk
CONTACT:20082
DESCRIPTION:An emerging approach in systems biology and personalized medic
 ine is that of relating molecular networks to disease outcomes and treatme
 nt. In a nutshell\, the idea is that networks that describe molecular inte
 rplay relevant to disease biology may differ between patients\, or between
  patient subpopulations\, such that their systematic characterization coul
 d help to explain corresponding variation in disease phenotypes or respons
 e to therapy. A major challenge is to develop experimental protocols and c
 omputational tools by which to elucidate such networks and explore their h
 eterogeneity across patients. I will describe our ongoing efforts to devel
 op statistical approaches for this setting including: methods for network 
 estimation from time-course and snapshot data\, using linear and nonlinear
  models\; exploration of network heterogeneity\; and systematic experiment
 al validation. Along the way I will highlight some of the opportunities an
 d challenges for statistical research in this area\, as well as some of th
 e caveats and concerns.
LOCATION:MR12\,  Centre for Mathematical Sciences\, Wilberforce Road\, Cam
 bridge
END:VEVENT
END:VCALENDAR