AutoOmics: New multimodal approach for multi-omics research
文献类型：期刊论文
| 作者 | Xu, Chi2; Liu, Denghui2; Zhang, Lei2; Xu, Zhimeng2; He, Wenjun2; Jiang, Hualiang1,3 ; Zheng, Mingyue3; Qiao, Nan2
|
| 刊名 | Artificial Intelligence in the Life Sciences
 |
| 出版日期 | 2021-12-15 |
| 卷号 | 1页码:100012 |
| 关键词 | Multi-omics Cancer genomics Integrative analysis Automatic machine learning Deep learning |
| ISSN号 | 2667-3185 |
| DOI | 10.1016/j.ailsci.2021.100012 |
| 英文摘要 | Deep learning is very promising in solving problems in omics research, such as genomics, epigenomics, proteomics, and metabolics. The design of neural network architecture is very important in modeling omics data against different scientific problems. Residual fully-connected neural network (RFCN) was proposed to provide better neural network architectures for modeling omics data. The next challenge for omics research is how to integrate information from different omics data using deep learning, so that information from different molecular system levels could be combined to predict the target. In this paper, we present a novel multi-omics integration approach named AutoOmics that could efficiently integrate information from different omics data and achieve better accuracy than previous approaches. We evaluated our method on four different tasks: drug repositioning, target gene prediction, breast cancer subtyping and cancer type prediction, and all the four tasks achieved state of art performances. |
| 语种 | 英语 |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/309259]  |
| 专题 | 新药研究国家重点实验室 |
| 通讯作者 | Qiao, Nan |
| 作者单位 | 1.Shanghai Institute for Advanced Immunochemical Studies, and School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China 2.Laboratory of Health Intelligence, Huawei Technologies Co., Ltd., China; 3.Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China; |
| 推荐引用方式 GB/T 7714 | Xu, Chi,Liu, Denghui,Zhang, Lei,et al. AutoOmics: New multimodal approach for multi-omics research[J]. Artificial Intelligence in the Life Sciences,2021,1:100012. |
| APA | Xu, Chi.,Liu, Denghui.,Zhang, Lei.,Xu, Zhimeng.,He, Wenjun.,...&Qiao, Nan.(2021).AutoOmics: New multimodal approach for multi-omics research.Artificial Intelligence in the Life Sciences,1,100012. |
| MLA | Xu, Chi,et al."AutoOmics: New multimodal approach for multi-omics research".Artificial Intelligence in the Life Sciences 1(2021):100012. |
入库方式： OAI收割
来源：上海药物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。