Robust Feature Selection Approach for Patient Classification using Gene Expression Data

Patient classification through feature selection (FS) based on gene expression data (GED) has already become popular to the research communities. T-test is the well-known statistical FS method in GED analysis. However, it produces higher false positives and lower accuracies for small sample sizes or...

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Detalles Bibliográficos
Autores principales: Shahjaman, Md., Kumar, Nishith, Ahmed, Md. Shakil, Begum, AnjumanAra, Islam, S. M. Shahinul, Mollah, Md. Nurul Haque
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2017
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680713/
https://www.ncbi.nlm.nih.gov/pubmed/29162964
http://dx.doi.org/10.6026/97320630013327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680713/
https://www.ncbi.nlm.nih.gov/pubmed/29162964
http://dx.doi.org/10.6026/97320630013327

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