Construction of a 26-feature gene support vector machine classifier for smoking and non-smoking lung adenocarcinoma sample classification

The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanism. Three gene expression datasets of LAC samples were downloaded from the Gene Expression Omnibus database through pre-set criteria and the expression...

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Detalles Bibliográficos
Autores principales: Yang, Lei, Sun, Lu, Wang, Wei, Xu, Hao, Li, Yi, Zhao, Jia-Ying, Liu, Da-Zhong, Wang, Fei, Zhang, Lin-You
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783520/
https://www.ncbi.nlm.nih.gov/pubmed/29257283
http://dx.doi.org/10.3892/mmr.2017.8220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5783520/
https://www.ncbi.nlm.nih.gov/pubmed/29257283
http://dx.doi.org/10.3892/mmr.2017.8220

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