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Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning
MOTIVATION: Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is not obvious which algorithm and what parameters are optimal for any given dataset. In contrast, regions with and without obvious peaks can be easily labeled by visual inspection of aligned read counts...
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| Yayımlandı: | Bioinformatics |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5408812/ https://ncbi.nlm.nih.gov/pubmed/27797775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw672 |
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