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Machine learning approach to single nucleotide polymorphism-based asthma prediction
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the hidden biological interactions for better prediction and diagnosis of complex diseases. In this work, we integrated ML-based models for feature selection and classification to quantify the risk of indi...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6892549/ https://ncbi.nlm.nih.gov/pubmed/31800601 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225574 |
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