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Efficient Identification of miRNAs for Classification of Tumor Origin

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Presentation on theme: "Efficient Identification of miRNAs for Classification of Tumor Origin"— Presentation transcript:

1 Efficient Identification of miRNAs for Classification of Tumor Origin
Rolf Søkilde, Martin Vincent, Anne K. Møller, Alastair Hansen, Poul E. Høiby, Thorarinn Blondal, Boye S. Nielsen, Gedske Daugaard, Søren Møller, Thomas Litman  The Journal of Molecular Diagnostics  Volume 16, Issue 1, Pages (January 2014) DOI: /j.jmoldx Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

2 Figure 1 Expression of cancer-tissue specific miRNAs (rows) across 208 samples (columns) that represent the 15 histologies in the training set. The heatmap shows median normalized log2 data for the top 5 to 10 miRNAs, identified by LASSO’s embedded feature selection algorithm, per class. For a detailed view of individual miRNAs and their classification score, please see Supplemental Table S2. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

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