BEGIN:VCALENDAR
PRODID:-//University of Illinois//Web Services Calendar//EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20120214T115544Z
DTSTART;TZID=America/Chicago:20071025T150000
DTEND;TZID=America/Chicago:20071025T150000
SUMMARY:CAESAR Seminar and Decision\, Control\, and Optimization Seminar:
  V. Vidyasagar: "Statistical Methods for Gene Finding (in Prokaryotic Ge
 nomes)"
CREATED:20071012T100000Z
DESCRIPTION:ABSTRACT:In this talk\, I will first introduce the requisite 
 background in biological terminology so that non-specialists can easily 
 follow the problem being studied\, which is to use statistical classific
 ation techniques to determine which parts of a genome (DNA sequence) cor
 respond to genes\, and which parts don't. The most popular methods\, bas
 ed on multi-step Markovian models\, are reviewed\, and then I introduce 
 a new algorithm called the Mixed Memory Markov Model (4M) algorithm that
  seems to perform as well as\, or better than\, the existing algorithms\
 , while at the same time being amenable to rigorous statistical analysis
 . Along the way I will introduce notions such as the Kullback-Leibler di
 vergence rate between Markov chains\, which extends the familiar Kullbac
 k-Leibler divergence to the case of dependent stochastic processes. The 
 algorithm proposed here is tailored for prokaryotes (lower life forms)\,
  and the challenges involved in extending it to eukaryotes (higher life 
 forms) are briefly discussed.BIO:Dr. M. Vidyasagar received all of his d
 egrees in Electrical Engineering from the University of Wisconsin\, Madi
 son\, including the Ph.D. in 1969. After teaching in Canada for twenty y
 ears\, lastly at the University of Waterloo\, he returned to Bangalore\,
  India in 1989 to set up the Centre for Artificial Intelligence and Robo
 tics under the Ministry of Defence\, Government of India. In 2000 he mov
 ed to Tata Consultancy Services\, India's first and largest software and
  services firm\, to set up the Advanced Technology Center in Hyderabad. 
 The ATC consists of around 100 persons working in various areas\, such a
 s computational biology\, e-security\, open source/Linux\, and quantitat
 ive finance. Dr. Vidyasagar has received many honors and awards\, includ
 ing the "Distinguished Service Citation" from his alma mater (the Univer
 sity of Wisconsin)\, the 2000 IEEE Bode Lecture Prize\, and the 2008 IEE
 E Control Systems Award.
LAST-MODIFIED:20071012T100000Z
LOCATION:141 Coordinated Science Laboratory
CATEGORIES:Seminar
ORGANIZER:japplequ@illinois.edu
URL:http://illinois.edu/calendar/detail/442?key=200001012000010174596
UID:74596@illinois.edu
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