Survival prediction in patients with colon adenocarcinoma via multiomics data integration using a deep learning algorithm

The present study proposed a deep learning (DL) algorithm to predict survival in patients with colon adenocarcinoma (COAD) based on multiomics integration. The survival-sensitive model was constructed using an autoencoder for DL implementation based on The Cancer Genome Atlas (TCGA) data of patients...

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Detalles Bibliográficos
Autores principales: Lv, Jiudi, Wang, Junjie, Shang, Xiujuan, Liu, Fangfang, Guo, Shixun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753845/
https://www.ncbi.nlm.nih.gov/pubmed/33258470
http://dx.doi.org/10.1042/BSR20201482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753845/
https://www.ncbi.nlm.nih.gov/pubmed/33258470
http://dx.doi.org/10.1042/BSR20201482

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