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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Kim, Kyungpil, Zhang, Shibo, Jiang, Keni, Cai, Li, Lee, In-Beum, Feldman, Lewis J, Huang, Haiyan
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: BioMed Central 2007
विषय:
ऑनलाइन पहुंच: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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