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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Detalles Bibliográficos
Autores principales: Kim, Kyungpil, Zhang, Shibo, Jiang, Keni, Cai, Li, Lee, In-Beum, Feldman, Lewis J, Huang, Haiyan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1804284/
https://www.ncbi.nlm.nih.gov/pubmed/17257435
http://dx.doi.org/10.1186/1471-2105-8-29

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1804284/
https://www.ncbi.nlm.nih.gov/pubmed/17257435
http://dx.doi.org/10.1186/1471-2105-8-29

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