Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples - researchr publication authors

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Patrick Perkins, Steffen Heber. Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples. In Xinghua Mindy Shi, Michael Buck, Jian Ma 0004, Pierangelo Veltri, editors, Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2019, Niagara Falls, NY, USA, September 7-10, 2019. pages 457-465, ACM, 2019. [doi]

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