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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Veröffentlicht in:BioData Min
Hauptverfasser: Neumann, Ursula, Riemenschneider, Mona, Sowa, Jan-Peter, Baars, Theodor, Kälsch, Julia, Canbay, Ali, Heider, Dominik
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2016
Schlagworte:
Research
Online Zugang: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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