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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\big DEPARTMENTAL SEMINAR}
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\centerline{4:15 p.m., Tuesday, October 5, 2004}
\centerline{Sequoia Hall Room 200}
\centerline{(Cookies at 3:45 in 1st Floor Lounge)}

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\centerline{\sl Susan Holmes}
\centerline{\sl Stanford University}
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\centerline{\bf Multivariate Statistics on Graphs and Networks in Biology}
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Abstract:

I will present a talk I gave in Cairns at the IBC meeting on doing
multivariate statistics when the objects are non standard: ie graphs
and trees.

We often need to summarize sets of graphs, average graphs or explain
graphs by underlying node variables.  We survey some existing methods
for simplifying graphs such as motif decomposition and
eigendecomposition and explain how these'methods can be used to do
statistical analyses of such graphs.

We will show some examples of genetic networks where these methods
apply.

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