Hierarchical Signature Clustering for Time-series Microarray Data

Abstract

Existing clustering techniques provide clusters from time series microarray data, but the distance metrics used lack interpretability for these types of data. While some previous methods are concerned with matching levels, of interest are genes that behave in the same manner but with varying levels. These are not clustered together using an Euclidean metric… (More)
DOI: 10.1007/978-1-4419-7046-6_6

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