BEGIN:VCALENDAR
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:PlanIt Purple
VERSION:2.0
PRODID:-//PlanIt Purple//EN
BEGIN:VEVENT
STATUS:CONFIRMED
LAST-MODIFIED:20090402T130852
URL:http://www.northwestern.edu/nico/events/index.html#seminars
PRIORITY:0
CLASS:PUBLIC
UID:381555@northwestern.edu
SUMMARY:Wednesdays@NICO: Statistical Modeling of Graph Theoretic Data in Systems Biology
DESCRIPTION:Presenter: Denise Scholtens - Preventive Medicine  & Biostatistics\, Feinberg School of Medicine Abstract:  Node-and-edge graphs are a foundational structure for recording\, visualizing and analyzing high-throughput genomics and proteomics data. Like most data\, systems biology observations generated by high-throughput technologies are subject to measurement error and therefore must be treated accordingly. Frequently reported summary statistics for these data often fail to account for experimental design and the stochastic nature of the observations. We apply classic statistical modeling approaches for a variety of problems\, thereby improving inference on commonly reported graph statistics\, local features of interest in global graphs\, and plausible error probability bounds. NICO Coffee Hour will follow for questions\, networking\, and collaboration.   http://www.northwestern.edu/nico/events/index.html#seminars
DTSTART:20090408T120000
DTEND:20090408T140000
CREATED:20090130T000000
DTSTAMP:20090130T000000
SEQUENCE:0
LOCATION:Evanston
END:VEVENT
END:VCALENDAR