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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-multi-omics-data-integration-reveals-two-prognostic-subtypes/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Li Zhang,Chenkai Lv,Yaqiong Jin,Ganqi Cheng,Yibao Fu,Dongsheng Yuan,Yiran Tao,Yongli Guo,Xin Ni,Tieliu Shi |
| Citations | 232 |
| DOI | 10.3389/fgene.2018.00477 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3389/fgene.2018.00477 |
| OpenAlex ID | https://openalex.org/W2892587974 |
| PMID | 30405689 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Xin Ni](https://scholariq.org/researchers/xin-ni/)

## Paper primary topic

- [Neuroblastoma Research and Treatments](https://scholariq.org/topics/neuroblastoma-research-and-treatments/)

## Paper topics

- [Neuroblastoma Research and Treatments](https://scholariq.org/topics/neuroblastoma-research-and-treatments/)
- [Cancer, Hypoxia, and Metabolism](https://scholariq.org/topics/cancer-hypoxia-and-metabolism/)
- [Mitochondrial Function and Pathology](https://scholariq.org/topics/mitochondrial-function-and-pathology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.