首页> Briefings in bioinformatics> DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery.

DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery.

导出 OA

翻译打印收藏纠错

第一作者： Wei,Lan

第一单位： Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronic and Information, Guangxi University, No. 100 Daxue Road, Xixiangtang District, Nanning 530004, China.

作者： Wei,Lan ^[1] ; Haibo,Liao ^[1] ; Qingfeng,Chen ^[1] ; Lingzhi,Zhu ^[2] ; Yi,Pan ^[3] ; Yi-Ping Phoebe,Chen ^[4]

作者单位： Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronic and Information, Guangxi University, No. 100 Daxue Road, Xixiangtang District, Nanning 530004, China. ^[1] School of Computer and Information Science, Hunan Institute of Technology, No. 18 Henghua Road, Zhuhui District， Hengyang 421002, China. ^[2] School of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Shenzhen University Town, Nanshan District, Shenzhen 518055, China. ^[3] Department of Computer Science and Information Technology, La Trobe University, Plenty Rd, Bundoora, Melbourne, Victoria 3086, Australia. ^[4]

关键词 cancer recurrence prediction interpretability of deep learning multi-omics data integration self-attention mechanism

主题词人类(Humans);肿瘤复发, 局部(Neoplasm Recurrence, Local);计算生物学(Computational Biology);肿瘤(Neoplasms);基因组学(Genomics)

DOI 10.1093/bib/bbae185

PMID 38678587

发布时间 2024-07-31

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交