Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues

With hundreds of epigenomic maps, the opportunity arises to exploit the correlated nature of epigenetic signals, across both marks and samples, for large-scale prediction of additional datasets. Here, we undertake epigenome imputation by leveraging such correlations through an ensemble of regression...

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Dades bibliogràfiques
Autors principals: Ernst, Jason, Kellis, Manolis
Altres autors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Idioma:en_US
Publicat: Nature Publishing Group 2016
Accés en línia:http://hdl.handle.net/1721.1/100769

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