Machine learning and WGCNA reveal the PVT1/miR-143–3p/CDK1 ceRNA axis as a key regulator in NSCLC
Machine learning has provided novel tools for analysis of multi-omics data for subgroups recognition in cancer to reach a clinically meaningful classification of cancer and identification of potential biomarkers. In this work, we retrieved mRNA, lncRNA, miRNA and protein expression data of non-small...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-12-01
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| coleção: | Biochemistry and Biophysics Reports |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2405580825003796 |
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