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Association analysis using somatic mutations
Somatic mutations drive the growth of tumor cells and are pivotal biomarkers for many cancer treatments. Genetic association analysis using somatic mutations is an effective approach to study the functional impact of somatic mutations. However, standard regression methods are not appropriate for som...
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| Yayımlandı: | PLoS Genet |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6235399/ https://ncbi.nlm.nih.gov/pubmed/30388102 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1007746 |
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