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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Detalles Bibliográficos
Autores principales: Roqueiro, Damian, Witteveen, Menno J., Anttila, Verneri, Terwindt, Gisela M., van den Maagdenberg, Arn M.J.M., Borgwardt, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Ismb/Eccb 2015 Proceedings Papers Committee July 10 to July 14, 2015, Dublin, Ireland
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765855/
https://www.ncbi.nlm.nih.gov/pubmed/26072497
http://dx.doi.org/10.1093/bioinformatics/btv254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765855/
https://www.ncbi.nlm.nih.gov/pubmed/26072497
http://dx.doi.org/10.1093/bioinformatics/btv254

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