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Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common cancers. The discovery of specific genes severing as biomarkers is of paramount significance for cancer diagnosis and prognosis. The high-throughput omics data generated by the cancer genome atlas (TCGA) consortium provides a valua...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386074/ https://www.ncbi.nlm.nih.gov/pubmed/34433487 http://dx.doi.org/10.1186/s12920-021-00957-4 |