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...
Main Authors: | , |
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Format: | Online |
Language: | English |
Published: |
2012
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427657/ |