Clustering Algorithms for Time Series Gene Expression in Microarray Data
Description:
Clustering techniques are important for gene expression data analysis. However, efficient computational algorithms for clustering time-series data are still lacking. This work documents two improvements on an existing profile-based greedy algorithm for short time-series data; the first one is implementation of a scaling method on the pre-processing of the raw data to handle some extreme cases; the second improvement is modifying the strategy to generate better clusters. Simulation data and real…
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Date:
August 2012
Creator:
Zhang, Guilin
Partner:
UNT Libraries