Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions - researchr publication authors

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Yannis Pantazis, Christos Tselas, Kleanthi Lakiotaki, Vincenzo Lagani, Ioannis Tsamardinos. Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions. In Taesung Park, Young-Rae Cho, Xiaohua Hu, Illhoi Yoo, Hyun Goo Woo, Jianxin Wang 0001, Julio C. Facelli, Seungyoon Nam, Mingon Kang, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020. pages 2505-2512, IEEE, 2020. [doi]

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