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Denoising genome-wide histone ChIP-seq with convolutional neural networks
MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to obtain genome-wide profiles of histone modifications associated with different types of functional genomic elements. However, the quality of histone ChIP-seq data is affected by many experimental parame...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870713/ https://ncbi.nlm.nih.gov/pubmed/28881977 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx243 |
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