Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization
The analysis of high-dimensional microarray gene expression data presents critical challenges, including excessive dimensionality, increased computational burden, and sensitivity to random initialization. Traditional optimization algorithms often produce inconsistent and suboptimal results, while fa...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2025-05-01
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| シリーズ: | PeerJ Computer Science |
| 主題: | |
| オンライン･アクセス: | https://peerj.com/articles/cs-2872.pdf |
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