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forestSV: structural variant discovery through statistical learning
Detecting genomic structural variants from high-throughput sequencing data is a complex and unresolved challenge. We have developed a statistical learning approach, based on Random Forests, which integrates prior knowledge about the characteristics of structural variants and leads to improved discov...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3427657/ https://ncbi.nlm.nih.gov/pubmed/22751202 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.2085 |
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