Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach
Understanding the biological factors that are characteristic of metastasis in melanoma remains a key approach to improving treatment. In this study, we seek to identify a gene signature of metastatic melanoma. We configured a new network-based computational pipeline, combined with a machine learning...
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Veröffentlicht in: | SCIENTIFIC REPORTS 2017-12, Vol.7 (1) |
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Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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