用于肝细胞癌基因突变预测的多示例多标记学习
机器学习
2022-03-24 v1 基因组学
机器学习
摘要
肝细胞癌（HCC）的基因突变预测对于个性化治疗和精准医学具有重要的诊断和预后价值。在本文中，我们使用多示例多标记学习来解决这一问题，以应对标签相关性、标签表示等方面的困难。此外，应用了一种有效的过采样策略来处理数据不平衡。实验结果表明了所提方法的优越性。
引用
@article{arxiv.2005.04073,
title = {Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma},
author = {Kaixin Xu and Ziyuan Zhao and Jiapan Gu and Zeng Zeng and Chan Wan Ying and Lim Kheng Choon and Thng Choon Hua and Pierce KH Chow},
journal= {arXiv preprint arXiv:2005.04073},
year = {2022}
}
备注
Accepted version to be published in the 42nd IEEE Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada