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Enhancer modeling uncovers transcriptional signatures of individual cardiac cell states in Drosophila
Here we used discriminative training methods to uncover the chromatin, transcription factor (TF) binding and sequence features of enhancers underlying gene expression in individual cardiac cells. We used machine learning with TF motifs and ChIP data for a core set of cardiogenic TFs and histone modi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330375/ https://www.ncbi.nlm.nih.gov/pubmed/25609699 http://dx.doi.org/10.1093/nar/gkv011 |