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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923882/ https://www.ncbi.nlm.nih.gov/pubmed/31856830 http://dx.doi.org/10.1186/s12920-019-0630-4 |