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Integrating and mining the chromatin landscape of cell-type specificity using self-organizing maps
We tested whether self-organizing maps (SOMs) could be used to effectively integrate, visualize, and mine diverse genomics data types, including complex chromatin signatures. A fine-grained SOM was trained on 72 ChIP-seq histone modifications and DNase-seq data sets from six biologically diverse cel...
Autores principales: | Mortazavi, Ali, Pepke, Shirley, Jansen, Camden, Marinov, Georgi K., Ernst, Jason, Kellis, Manolis, Hardison, Ross C., Myers, Richard M., Wold, Barbara J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847782/ https://www.ncbi.nlm.nih.gov/pubmed/24170599 http://dx.doi.org/10.1101/gr.158261.113 |
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