Direct prediction of regulatory elements from partial data without imputation.

ABSTRACT: Genome segmentation approaches allow us to characterize regulatory states in a given cell type using combinatorial patterns of histone modifications and other regulatory signals. In order to analyze regulatory state differences across cell types, current genome segmentation approaches typically require that the same regulatory genomics assays have been performed in all analyzed cell types. This necessarily limits both the numbers of cell types that can be analyzed and the complexity of the resulting regulatory states, as only a small number of histone modifications have been profiled across many cell types. Data imputation approaches that aim to estimate missing regulatory signals have been applied before genome segmentation. However, this approach is computationally costly and propagates

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC6855516 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature