Cargando…
Multiple similarly effective solutions exist for biomedical feature selection and classification problems
Binary classification is a widely employed problem to facilitate the decisions on various biomedical big data questions, such as clinical drug trials between treated participants and controls, and genome-wide association studies (GWASs) between participants with or without a phenotype. A machine lea...
Autores principales: | Liu, Jiamei, Xu, Cheng, Yang, Weifeng, Shu, Yayun, Zheng, Weiwei, Zhou, Fengfeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634418/ https://www.ncbi.nlm.nih.gov/pubmed/28993656 http://dx.doi.org/10.1038/s41598-017-13184-8 |
Ejemplares similares
-
Publisher Correction: Multiple similarly effective solutions exist for biomedical feature selection and classification problems
por: Liu, Jiamei, et al.
Publicado: (2018) -
Author Correction: Multiple similarly effective solutions exist for biomedical feature selection and classification problems
por: Liu, Jiamei, et al.
Publicado: (2018) -
Existence of Multiple Solutions for a p-Kirchhoff Problem with Nonlinear Boundary Conditions
por: Xiu, Zonghu, et al.
Publicado: (2013) -
Electrical circuits in biomedical engineering: problems with solutions
por: Keskin, Ali Ümit
Publicado: (2017) -
RIFS: a randomly restarted incremental feature selection algorithm
por: Ye, Yuting, et al.
Publicado: (2017)