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Enrichment constrained time-dependent clustering analysis for finding meaningful temporal transcription modules

Motivation: Clustering is a popular data exploration technique widely used in microarray data analysis. When dealing with time-series data, most conventional clustering algorithms, however, either use one-way clustering methods, which fail to consider the heterogeneity of temporary domain, or use tw...

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Hlavní autoři: Meng, Jia, Gao, Shou-Jiang, Huang, Yufei
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2009
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2687989/
https://ncbi.nlm.nih.gov/pubmed/19351618
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp235
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