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BROCKMAN: deciphering variance in epigenomic regulators by k-mer factorization
BACKGROUND: Variation in chromatin organization across single cells can help shed important light on the mechanisms controlling gene expression, but scale, noise, and sparsity pose significant challenges for interpretation of single cell chromatin data. Here, we develop BROCKMAN (Brockman Representa...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6029352/ https://ncbi.nlm.nih.gov/pubmed/29970004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2255-6 |
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