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Cancer
progression often involves alterations in DNA
sequence copy number. Multiple microarray
platforms now facilitate high-resolution copy
number assessment of entire genomes in single
experiments. The goal of our research is to
estimate the number and genomic positions of
copy number changes from noisy microarray data,
with the hope that it will lead to the discovery
of important cancer genes. For this purpose, we
have developed a modification of binary
segmentation that we call Circular Binary
Segmentation (CBS). The CBS method will be
presented, and its performance will be assessed
on both real and simulated data. In addition, an
alternative method based on a hidden Markov
model will be introduced.
This is joint work with E.S. Venkatraman. |
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