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A Meta-Analysis of Multiple Matched Copy Number and Transcriptomics Data Sets for Inferring Gene Regulatory Relationships
Inferring gene regulatory relationships from observational data is challenging. Manipulation and intervention is often required to unravel causal relationships unambiguously. However, gene copy number changes, as they frequently occur in cancer cells, might be considered natural manipulation experim...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2014
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| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4141782/ https://ncbi.nlm.nih.gov/pubmed/25148247 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0105522 |
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