Statistical significance for hierarchical clustering in genetic association and microarray expression studies

BACKGROUND: With the increasing amount of data generated in molecular genetics laboratories, it is often difficult to make sense of results because of the vast number of different outcomes or variables studied. Examples include expression levels for large numbers of genes and haplotypes at large num...

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Detalles Bibliográficos
Autores principales: Levenstien, Mark A, Yang, Yaning, Ott, Jürg
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC328091/
https://www.ncbi.nlm.nih.gov/pubmed/14667254
http://dx.doi.org/10.1186/1471-2105-4-62

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC328091/
https://www.ncbi.nlm.nih.gov/pubmed/14667254
http://dx.doi.org/10.1186/1471-2105-4-62

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