Feature learning augmented with sampling and heuristics (FLASH) improves model performance and biomarker identification
Abstract Big biological datasets, such as gene expression profiles, often contain redundant features that degrade model performance and limit generalization across independent datasets with complexities like class imbalance and hidden sub-clusters. To overcome challenges, we present ‘FLASH’, a novel...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2025-12-01
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| Edice: | npj Systems Biology and Applications |
| On-line přístup: | https://doi.org/10.1038/s41540-025-00614-x |
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