ZODET: Software for the Identification, Analysis and Visualisation of Outlier Genes in Microarray Expression Data

SUMMARY: Complex human diseases can show significant heterogeneity between patients with the same phenotypic disorder. An outlier detection strategy was developed to identify variants at the level of gene transcription that are of potential biological and phenotypic importance. Here we describe a gr...

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Detalles Bibliográficos
Autores principales: Roden, Daniel L., Sewell, Gavin W., Lobley, Anna, Levine, Adam P., Smith, Andrew M., Segal, Anthony W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885386/
https://www.ncbi.nlm.nih.gov/pubmed/24416128
http://dx.doi.org/10.1371/journal.pone.0081123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885386/
https://www.ncbi.nlm.nih.gov/pubmed/24416128
http://dx.doi.org/10.1371/journal.pone.0081123

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