forestSV: structural variant discovery through statistical learning




forestSV: structural variant discovery through statistical learning by Jacob J Michaelson & Jonathan Sebat published in Nature Methods 9, 819–821 (2012). Abstract 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, that integrates prior knowledge about the characteristics of […]