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Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data
BACKGROUND: Identifying cancer subtypes is an important component of the personalised medicine framework. An increasing number of computational methods have been developed to identify cancer subtypes. However, existing methods rarely use information from gene regulatory networks to facilitate the su...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4818025/ https://ncbi.nlm.nih.gov/pubmed/27035433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0152792 |
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