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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Detalles Bibliográficos
Autores principales: Michaelson, Jacob J., Sebat, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427657/
https://www.ncbi.nlm.nih.gov/pubmed/22751202
http://dx.doi.org/10.1038/nmeth.2085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427657/
https://www.ncbi.nlm.nih.gov/pubmed/22751202
http://dx.doi.org/10.1038/nmeth.2085

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