Deep self-reconstruction driven joint nonnegative matrix factorization model for identifying multiple genomic imaging associations in complex diseases-Reference-Cited by-同舟云学术

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Deep self-reconstruction driven joint nonnegative matrix factorization model for identifying multiple genomic imaging associations in complex diseases

Published:2024-08 Issue: Volume:156 Page:104684
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Deng Jin^ORCID,Wei Kai,Fang Jiana,Li Ying

Publisher

Elsevier BV

Reference66 articles.

1. Multimodal data fusion for cancer biomarker discovery with deep learning;Steyaert;Nat. Mach. Intell.,2023

2. Multimodal fusion of brain imaging data: methods and applications;Luo;Mach. Intell. Res,2024

3. Harnessing multimodal data integration to advance precision oncology;Boehm;Nat. Rev. Cancer,2021

4. Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities, Nat;Jiang;Cancer,2024

5. Multimodal deep learning for biomedical data fusion: a review. Brief Bioinform;Stahlschmidt;Brief. Bioinform.,2022

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