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FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles
The advent of single-cell open-chromatin profiling technology has facilitated the analysis of heterogeneity of activity of regulatory regions at single-cell resolution. However, stochasticity and availability of low amount of relevant DNA, cause high drop-out rate and noise in single-cell open-chrom...
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| Publicado no: | NAR Genom Bioinform |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7676476/ https://ncbi.nlm.nih.gov/pubmed/33575635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nargab/lqaa091 |
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