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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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Bibliographische Detailangaben
Veröffentlicht in:PLoS One
Hauptverfasser: Gaudillo, Joverlyn, Rodriguez, Jae Joseph Russell, Nazareno, Allen, Baltazar, Lei Rigi, Vilela, Julianne, Bulalacao, Rommel, Domingo, Mario, Albia, Jason
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2019
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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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