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A subnetwork-based framework for prioritizing and evaluating prognostic gene modules from cancer transcriptome data
Cancer prognosis prediction is critical to the clinical decision-making process. Currently, the high availability of transcriptome datasets allows us to extract the gene modules with promising prognostic values. However, the biomarker identification is greatly challenged by tumor and patient heterog...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845797/ https://www.ncbi.nlm.nih.gov/pubmed/36685033 http://dx.doi.org/10.1016/j.isci.2022.105915 |