BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Probabilistic Methods in Cancer Biology - Prof. M. Vidyasagar FRS\
 , Univ. of Texas\, Dallas
DTSTART:20120710T130000Z
DTEND:20120710T140000Z
UID:TALK38617@talks.cam.ac.uk
CONTACT:Dr Jason Z JIANG
DESCRIPTION:In this talk I will discuss two specific problems in cancer bi
 ology\, namely: Identifying the most informative features\, and reverse-en
 gineering genome-wide interaction networks.  The first is a non-standard p
 roblem in machine learning\, wherein the number of features is many times 
 larger than the number of samples\, the inverse of the usual situation in 
 engineering.  The second is a problem of constructing a minimal weighted d
 irected graph that is consistent with the data.  For each problem\, I will
  discuss new and appropriate algorithms invented by my team\, and their ap
 plication/validation in three forms of cancer: lung\, ovarian and endometr
 ial.  I will also suggest a broad framework through which engineers can ma
 ke meaningful contributions to cancer biology\, and suggest a few problems
  for future research.
LOCATION:Cambridge University Engineering Department\, LR5
END:VEVENT
END:VCALENDAR