Outcome-Driven Clustering of Microarray Data

Outcome-Driven Clustering of Microarray Data

The rapid technological development of high-throughput genomics has given rise to complex high-dimensional microarray datasets. One strategy for reducing the dimensionality of microarray experiments is to carry out a cluster analysis to find groups of genes with similar expression patterns. Though cl...

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Bibliographic Details
Main Author: Hsu, Jessie
Other Authors: Finkelstein, Dianne Madelyn
Language:en_US
Published: Harvard University 2012
Subjects:
Bayesian
clustering
data augmentation
gene expression
microarray
biostatistics
Online Access:http://dissertations.umi.com/gsas.harvard:10410
http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561188

Internet

http://dissertations.umi.com/gsas.harvard:10410
http://nrs.harvard.edu/urn-3:HUL.InstRepos:9561188

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