# An efficient feature selection and classification system for microarray cancer data using genetic algorithm and deep belief networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-efficient-feature-selection-and-classification-system-for-microarray-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Morolake Oladayo Lawrence,Rasheed Gbenga Jimoh,Waheed Babatunde Yahya |
| Citations | 13 |
| DOI | 10.1007/s11042-024-18802-y |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4392964653 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Morolake Oladayo Lawrence](https://scholariq.org/researchers/morolake-oladayo-lawrence/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.