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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Detaylı Bibliyografya
Yayımlandı:BioData Min
Asıl Yazarlar: Neumann, Ursula, Riemenschneider, Mona, Sowa, Jan-Peter, Baars, Theodor, Kälsch, Julia, Canbay, Ali, Heider, Dominik
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2016
Konular:
Research
Online Erişim: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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