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The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data

OBJECTIVE: Predicting patient outcomes from genome-wide measurements holds significant promise for improving clinical care. The large number of measurements (eg, single nucleotide polymorphisms (SNPs)), however, makes this task computationally challenging. This paper evaluates the performance of an...

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Bibliografiska uppgifter
Huvudupphovsmän: Wei, Wei, Visweswaran, Shyam, Cooper, Gregory F
Materialtyp: Artigo
Språk:Inglês
Publicerad: BMJ Group 2011
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Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3128400/
https://ncbi.nlm.nih.gov/pubmed/21672907
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000101
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