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Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
BACKGROUND: Larger variation exists in epigenomes than in genomes, as a single genome shapes the identity of multiple cell types. With the advent of next-generation sequencing, one of the key problems in computational epigenomics is the poor understanding of correlations and quantitative differences...
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| Publicado no: | BioData Min |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4488123/ https://ncbi.nlm.nih.gov/pubmed/26140054 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-015-0051-7 |
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