DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis

Integrative analysis of multi-omics data can elucidate valuable insights into complex molecular mechanisms for various diseases. However, due to their different modalities and high dimension, utilizing and integrating different types of omics data suffers from great challenges. There is an urgent ne...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Lianhe, Dong, Qiongye, Luo, Chunlong, Wu, Yang, Bu, Dechao, Qi, Xiaoning, Luo, Yufan, Zhao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131983/
https://www.ncbi.nlm.nih.gov/pubmed/34093987
http://dx.doi.org/10.1016/j.csbj.2021.04.067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131983/
https://www.ncbi.nlm.nih.gov/pubmed/34093987
http://dx.doi.org/10.1016/j.csbj.2021.04.067

Ejemplares similares