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Feature selection for high-dimensional temporal data

BACKGROUND: Feature selection is commonly employed for identifying collectively-predictive biomarkers and biosignatures; it facilitates the construction of small statistical models that are easier to verify, visualize, and comprehend while providing insight to the human expert. In this work we exten...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:BMC Bioinformatics
Päätekijät: Tsagris, Michail, Lagani, Vincenzo, Tsamardinos, Ioannis
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2018
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5778658/
https://ncbi.nlm.nih.gov/pubmed/29357817
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2023-7
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