Deep Learning‐Based Multiomics Data Integration Methods for Biomedical Application

Deep Learning‐Based Multiomics Data Integration Methods for Biomedical Application

The innovation of high‐throughput technologies and medical radiomics allows biomedical data to accumulate at an astonishing rate. Several promising deep learning (DL) methods are developed to integrate multiomics data generated from a large number of samples. Herein, a comprehensive survey is conduc...

Full description

Bibliographic Details
Main Authors: Yuqi Wen, Linyi Zheng, Dongjin Leng, Chong Dai, Jing Lu, Zhongnan Zhang, Song He, Xiaochen Bo
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:Advanced Intelligent Systems
Subjects:
biomedical applications
data integration
deep learning methods
multiomics
Online Access:https://doi.org/10.1002/aisy.202200247

Internet

https://doi.org/10.1002/aisy.202200247

Similar Items