中国科学院计算技术研究所机构知识库

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	A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information 期刊论文 CELLS, 2022, 卷号: 11, 期号: 9, 页码: 18 作者:  Meng, Xiangyu;  Wang, Xun;  Zhang, Xudong;  Zhang, Chaogang;  Zhang, Zhiyuan;  Zhang, Kuijie;  Wang, Shudong 收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07 deep learning  survival analysis  neural networks  Cox regression  cancer prognosis
	DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725 作者:  Zhao, Lianhe;  Dong, Qiongye;  Luo, Chunlong;  Wu, Yang;  Bu, Dechao;  Qi, Xiaoning;  Luo, Yufan;  Zhao, Yi 收藏  |  浏览/下载：51/0  |  提交时间：2021/12/01 Multi-omics  Deep learning  Survival analysis  Prognosis prediction  Interpretable model
	Single-cell RNA sequencing of t(8;21) acute myeloid leukemia for risk prediction 期刊论文 ONCOLOGY REPORTS, 2020, 卷号: 43, 期号: 4, 页码: 1278-1288 作者:  Xiong, Qian;  Huang, Sai;  Li, Yong-Hui;  Lv, Na;  Lv, Chao;  Ding, Yi;  Liu, Wen-Wen;  Wang, Li-Li;  Chen, Yang;  Sun, Liang;  Zhao, Yi;  Liao, Sheng-You;  Zhang, Michael Q.;  Zhu, Bao-Li;  Yu, Li 收藏  |  浏览/下载：73/0  |  提交时间：2020/12/10 acute myeloid leukemia  t(8  21)  single-cell RNA-sequencing  prognosis
	The long non-coding RNA NONHSAG026900 predicts prognosis as a favorable biomarker in patients with diffuse large B-cell lymphoma 期刊论文 ONCOTARGET, 2017, 卷号: 8, 期号: 21, 页码: 34374-34386 作者:  Zhao, Shuangtao;  Fang, Shuangsang;  Liu, Yanhua;  Li, Xixi;  Liao, Shengyou;  Chen, Jinwen;  Liu, Jingjia;  Zhao, Lianhe;  Li, Hui;  Zhou, Wei;  Shen, Wenzhi;  Dong, Xiaoli;  Xiang, Rong;  Wang, Luhua;  Zhao, Yi 收藏  |  浏览/下载：64/0  |  提交时间：2019/12/12 diffuse large B-cell lymphoma  long non-coding RNA  NONHSAG026900  prognosis  biomarker