Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach

MOTIVATION: Biomarker discovery methods are essential to identify a minimal subset of features (e.g., serum markers in predictive medicine) that are relevant to develop prediction models with high accuracy. By now, there exist diverse feature selection methods, which either are embedded, combined, o...

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Detalles Bibliográficos
Autores principales: Neumann, Ursula, Riemenschneider, Mona, Sowa, Jan-Peter, Baars, Theodor, Kälsch, Julia, Canbay, Ali, Heider, Dominik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116216/
https://www.ncbi.nlm.nih.gov/pubmed/27891179
http://dx.doi.org/10.1186/s13040-016-0114-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116216/
https://www.ncbi.nlm.nih.gov/pubmed/27891179
http://dx.doi.org/10.1186/s13040-016-0114-4

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