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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...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | 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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