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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| 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 |