Clustering Algorithms for Time Series Gene Expression in Microarray Data
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 implem...
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| Format: | Others |
| Language: | English |
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University of North Texas
2012
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| Online Access: | https://digital.library.unt.edu/ark:/67531/metadc177269/ |