Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma

• URL: http://arxiv.org/abs/2005.04073v1
• Date: Fri, 8 May 2020 14:47:25 GMT
• Title: Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma
• Authors: Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow
• Abstract summary: Gene mutation prediction in carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle this problem with multi-instance multi-label learning to address the difficulties on label correlations, label representations, etc.
• Score: 5.234375382973767
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Gene mutation prediction in hepatocellular carcinoma (HCC) is of great diagnostic and prognostic value for personalized treatments and precision medicine. In this paper, we tackle this problem with multi-instance multi-label learning to address the difficulties on label correlations, label representations, etc. Furthermore, an effective oversampling strategy is applied for data imbalance. Experimental results have shown the superiority of the proposed approach.

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