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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:BioData Min
Päätekijät: Neumann, Ursula, Riemenschneider, Mona, Sowa, Jan-Peter, Baars, Theodor, Kälsch, Julia, Canbay, Ali, Heider, Dominik
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2016
Aiheet:
Research
Linkit: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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