ZODET: software for the identification, analysis and visualisation of outlier genes in microarray expression data

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 graphical s...

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Veröffentlicht in:PloS one 2014-01, Vol.9 (1), p.e81123-e81123
Hauptverfasser: Roden, Daniel L, Sewell, Gavin W, Lobley, Anna, Levine, Adam P, Smith, Andrew M, Segal, Anthony W
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Sprache:eng
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