Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma-Reference-Cited by-同舟云学术

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Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma

Published:2018-10-18 Issue: Volume:9 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Zhang Li,Lv Chenkai,Jin Yaqiong,Cheng Ganqi,Fu Yibao,Yuan Dongsheng,Tao Yiran,Guo Yongli,Ni Xin,Shi Tieliu

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Genetics(clinical),Genetics,Molecular Medicine

Reference28 articles.

1. Analysis of breast cancer progression using principal component analysis and clustering;Alexe;J Biosci.,2007

2. Low expression of Wnt-5a gene is associated with high-risk neuroblastoma;Blanc;Oncogene,2005

3. Amplification of N-myc in untreated human neuroblastomas correlates with advanced disease stage;Brodeur;Science,1984

4. Comprehensive molecular profiling of lung adenocarcinoma;Cancer Genome Atlas Research;Nature,2014

5. Deep learning-based multi-omics integration robustly predicts survival in liver cancer;Chaudhary;Clin. Cancer Res.,2018

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