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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Detalles Bibliográficos
Autores principales: Zhao, Zhixun, Peng, Hui, Zhang, Xiaocai, Zheng, Yi, Chen, Fang, Fang, Liang, Li, Jinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

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