Colloquium: JB Nation

When:
April 29, 2016 @ 3:30 pm – 4:30 pm
2016-04-29T15:30:00-10:00
2016-04-29T16:30:00-10:00

Title: Mathematical Methods for Analyzing Genomic Data

Speaker: J. B. Nation, University of Hawaii

We describe how some simple modifications of basic methods
give a useful analysis of genetic data, and apply this to
ovarian cancer. A refined singular value decomposition
allows one to look for common biological signals in
gene expression, microRNA and methylation site data.
A clustering technique based on lattice theory identifies
microRNA signals that predict survival. A neural network
using a wavelet transform can be used to choose candidates
for different treatments. Finally, we can identify some
of the biology behind these results, indicating treatment
possibilities.

This is joint work with Gordon Okimoto, Ashkan Zeinalzadeh,
Jenna Maligro, Tammy Yoshioka, and and Tom Wenska of the
University of Hawaii Cancer Center.