# Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-technique-for-gene-expression-by-tumor-rna-seq-data-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nour Eldeen M. Khalifa,Mohamed Hamed N. Taha,Dalia Ezzat,Adam Słowik,Aboul Ella Hassanien |
| Citations | 123 |
| DOI | 10.1109/access.2020.2970210 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974295.pdf |
| OpenAlex ID | https://openalex.org/W3003663164 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Dalia Ezzat](https://scholariq.org/researchers/dalia-ezzat/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

## Paper topics

- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Molecular Biology Techniques and Applications](https://scholariq.org/topics/molecular-biology-techniques-and-applications/)

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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.