In silico phenotyping via co-training for improved phenotype prediction from genotype

Motivation: Predicting disease phenotypes from genotypes is a key challenge in medical applications in the postgenomic era. Large training datasets of patients that have been both genotyped and phenotyped are the key requisite when aiming for high prediction accuracy. With current genotyping project...

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Bibliografische gegevens
Gepubliceerd in:Bioinformatics
Hoofdauteurs: Roqueiro, Damian, Witteveen, Menno J., Anttila, Verneri, Terwindt, Gisela M., van den Maagdenberg, Arn M.J.M., Borgwardt, Karsten
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2015
Onderwerpen:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765855/
https://ncbi.nlm.nih.gov/pubmed/26072497
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv254
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