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Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks
Co-expression networks have long been used as a tool for investigating the molecular circuitry governing biological systems. However, most algorithms for constructing co-expression networks were developed in the microarray era, before high-throughput sequencing—with its unique statistical properties...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5560700/ https://ncbi.nlm.nih.gov/pubmed/28817636 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183103 |
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