Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data

BACKGROUND: A feature selection method in microarray gene expression data should be independent of platform, disease and dataset size. Our hypothesis is that among the statistically significant ranked genes in a gene list, there should be clusters of genes that share similar biological functions rel...

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Detalles Bibliográficos
Autores principales: Sakellariou, Argiris, Sanoudou, Despina, Spyrou, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542193/
https://www.ncbi.nlm.nih.gov/pubmed/23075381
http://dx.doi.org/10.1186/1471-2105-13-270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542193/
https://www.ncbi.nlm.nih.gov/pubmed/23075381
http://dx.doi.org/10.1186/1471-2105-13-270

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