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Measuring similarities between gene expression profiles through new data transformations

BACKGROUND: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is critical to the analysis. In our study, we developed a new measure for clustering the genes when the key factor is the shape...

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Main Authors: Kim, Kyungpil, Zhang, Shibo, Jiang, Keni, Cai, Li, Lee, In-Beum, Feldman, Lewis J, Huang, Haiyan
格式: Artigo
語言:Inglês
出版: BioMed Central 2007
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC1804284/
https://ncbi.nlm.nih.gov/pubmed/17257435
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-29
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