Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study - researchr publication authors

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Jiandong Huang, Huiru Zheng, Haying Wang, Xingpeng Jiang. Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study. In Xiaohua Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Yang Gong, Dmitry Korkin, Illhoi Yoo, Jane Huiru Zheng, editors, 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, MO, USA, November 13-16, 2017. pages 2054-2061, IEEE Computer Society, 2017. [doi]

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