|
|
Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
Statistical Modeling of Graph Theoretic Data in Systems
Biology
Denise Scholtens
Department of Preventive Medicine, Northwestern University
3:30PM - Tuesday, February 12, 2008
Room 240, Cockins Hall (CH 240)
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. Currently, most analyses
present only naive summary statistics of these 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.
Meet the speaker in Room 212 Cockins Hall at 4:30
p.m. Refreshments will be served.
|
