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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Detaylı Bibliyografya
Yayımlandı:Bioinformatics
Asıl Yazarlar: Roqueiro, Damian, Witteveen, Menno J., Anttila, Verneri, Terwindt, Gisela M., van den Maagdenberg, Arn M.J.M., Borgwardt, Karsten
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2015
Konular:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Online Erişim: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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