# Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrated-multi-omics-analyses-in-oncology-a-review-of-machine-learning-methods/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Giovanna Nicora,Francesca Vitali,Arianna Dagliati,Nophar Geifman,Riccardo Bellazzi |
| Citations | 289 |
| DOI | 10.3389/fonc.2020.01030 |
| Fields | Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fonc.2020.01030/pdf |
| OpenAlex ID | https://openalex.org/W3031003892 |
| PMID | 32695678 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Riccardo Bellazzi](https://scholariq.org/researchers/riccardo-bellazzi/)

## Paper journal

- [Frontiers in Oncology](https://scholariq.org/journals/frontiers-in-oncology/)

## Paper primary topic

- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

## Paper topics

- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)

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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.