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Identification of lung cancer gene markers through kernel maximum mean discrepancy and information entropy
BACKGROUND: The early diagnosis of lung cancer has been a critical problem in clinical practice for a long time and identifying differentially expressed gene as disease marker is a promising solution. However, the most existing gene differential expression analysis (DEA) methods have two main drawba...
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| Publié dans: | BMC Med Genomics |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6923882/ https://ncbi.nlm.nih.gov/pubmed/31856830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-019-0630-4 |
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