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Genomic Feature Selection by Coverage Design Optimization
We introduce a novel data reduction technique whereby we select a subset of tiles to “cover” maximally events of interest in large-scale biological datasets (e.g., genetic mutations), while minimizing the number of tiles. A tile is a genomic unit capturing one or more biological events, such as a se...
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| Опубликовано в: : | J Appl Stat |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6173524/ https://ncbi.nlm.nih.gov/pubmed/30294060 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2018.1432577 |
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