Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples
por: Hu, Minwei, et al.
Publicado: (2021) -
The Construction of Support Vector Machine Classifier Using the Firefly Algorithm
por: Chao, Chih-Feng, et al.
Publicado: (2015) -
Constructing Support Vector Machine Ensembles for Cancer Classification Based on Proteomic Profiling
por: Mao, Yong, et al.
Publicado: (2005) -
Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients
por: Shang, Zhenglu, et al.
Publicado: (2021) -
COVID-19 cluster identification and support vector machine classifier model construction using global healthcare and socio-economic features
por: Guha, Soumya Kanti, et al.
Publicado: (2023)