Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes

In genetic data modeling, the use of a limited number of samples for modeling and predicting, especially well below the attribute number, is difficult due to the enormous number of genes detected by a sequencing platform. In addition, many studies commonly use machine learning methods to evaluate ge...

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Detalles Bibliográficos
Autores principales: Jing, Runyu, Liang, Yu, Ran, Yi, Feng, Shengzhong, Wei, Yanjie, He, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818887/
https://www.ncbi.nlm.nih.gov/pubmed/29546047
http://dx.doi.org/10.1155/2018/8124950

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818887/
https://www.ncbi.nlm.nih.gov/pubmed/29546047
http://dx.doi.org/10.1155/2018/8124950

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