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SurvivalGWAS_SV: software for the analysis of genome-wide association studies of imputed genotypes with “time-to-event” outcomes
BACKGROUND: Analysis of genome-wide association studies (GWAS) with “time to event” outcomes have become increasingly popular, predominantly in the context of pharmacogenetics, where the survival endpoint could be death, disease remission or the occurrence of an adverse drug reaction. However, metho...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5438515/ https://ncbi.nlm.nih.gov/pubmed/28525968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1683-z |
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