Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets - researchr publication

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Milko Krachunov, Maria Nisheva, Dimitar Vassilev. Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets. In Petros Koumoutsakos, Michael Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, International Conference on Computational Science, ICCS 2017, 12-14 June 2017, Zurich, Switzerland. Volume 108 of Procedia Computer Science, pages 1145-1154, Elsevier, 2017. [doi]

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