Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering

BACKGROUND: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or sub-classes, of either individuals or genes. Performing a cluster analysis commonly involve decisions on how to; handle mis...

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Detalles Bibliográficos
Autores principales: Freyhult, Eva, Landfors, Mattias, Önskog, Jenny, Hvidsten, Torgeir R, Rydén, Patrik
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098084/
https://www.ncbi.nlm.nih.gov/pubmed/20937082
http://dx.doi.org/10.1186/1471-2105-11-503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3098084/
https://www.ncbi.nlm.nih.gov/pubmed/20937082
http://dx.doi.org/10.1186/1471-2105-11-503

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