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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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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | 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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