Sparse omics-network regularization to increase interpretability and performance of linear classification models - researchr publication authors

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Michael Andel, Filip Masri, Jirí Kléma, Zdenek Krejcík, Monika Belickova. Sparse omics-network regularization to increase interpretability and performance of linear classification models. In Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce, editors, 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015. pages 615-620, IEEE Computer Society, 2015. [doi]

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