Ontology highlight
ABSTRACT:
SUBMITTER: Ernst J
PROVIDER: S-EPMC4512306 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
Ernst Jason J Kellis Manolis M
Nature biotechnology 20150218 4
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 trees. We impute 4,315 high-resolution signal maps, of which 26% are also experimentally observed. Imputed signal tracks show overall similarity to observed signals and surpass experimental datasets ...[more]