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Detecting disease-associated genomic outcomes using constrained mixture of Bayesian hierarchical models for paired data
Detecting disease-associated genomic outcomes is one of the key steps in precision medicine research. Cutting-edge high-throughput technologies enable researchers to unbiasedly test if genomic outcomes are associated with disease of interest. However, these technologies also include the challenges a...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS One |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5373614/ https://ncbi.nlm.nih.gov/pubmed/28358896 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0174602 |
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