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
Publicado en:BioData Min
Autores principales: Neumann, Ursula, Riemenschneider, Mona, Sowa, Jan-Peter, Baars, Theodor, Kälsch, Julia, Canbay, Ali, Heider, Dominik
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5116216/
https://ncbi.nlm.nih.gov/pubmed/27891179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0114-4
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