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Class Prediction and Feature Selection with Linear Optimization for Metagenomic Count Data
The amount of metagenomic data is growing rapidly while the computational methods for metagenome analysis are still in their infancy. It is important to develop novel statistical learning tools for the prediction of associations between bacterial communities and disease phenotypes and for the detect...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2013
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3608598/ https://ncbi.nlm.nih.gov/pubmed/23555553 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0053253 |
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