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Cancer driver mutation prediction through Bayesian integration of multi-omic data
Identification of cancer driver mutations is critical for advancing cancer research and personalized medicine. Due to inter-tumor genetic heterogeneity, many driver mutations occur at low frequencies, which make it challenging to distinguish them from passenger mutations. Here, we show that a novel...
Gorde:
| Argitaratua izan da: | PLoS One |
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| Egile Nagusiak: | , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Public Library of Science
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5940219/ https://ncbi.nlm.nih.gov/pubmed/29738578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0196939 |
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