A novel data mining method to identify assay-specific signatures in functional genomic studies

BACKGROUND: The highly dimensional data produced by functional genomic (FG) studies makes it difficult to visualize relationships between gene products and experimental conditions (i.e., assays). Although dimensionality reduction methods such as principal component analysis (PCA) have been very usef...

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Detalles Bibliográficos
Autores principales: Rollins, Derrick K, Zhai, Dongmei, Joe, Alrica L, Guidarelli, Jack W, Murarka, Abhishek, Gonzalez, Ramon
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1599756/
https://www.ncbi.nlm.nih.gov/pubmed/16907975
http://dx.doi.org/10.1186/1471-2105-7-377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1599756/
https://www.ncbi.nlm.nih.gov/pubmed/16907975
http://dx.doi.org/10.1186/1471-2105-7-377

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