Cargando…
PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition
The Encyclopedia of DNA Elements (ENCODE) and the Roadmap Epigenomics Project seek to characterize the epigenome in diverse cell types using assays that identify, for example, genomic regions with modified histones or accessible chromatin. These efforts have produced thousands of datasets but cannot...
Autores principales: | Durham, Timothy J., Libbrecht, Maxwell W., Howbert, J. Jeffry, Bilmes, Jeff, Noble, William Stafford |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895786/ https://www.ncbi.nlm.nih.gov/pubmed/29643364 http://dx.doi.org/10.1038/s41467-018-03635-9 |
Ejemplares similares
-
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
por: Schreiber, Jacob, et al.
Publicado: (2020) -
Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data
por: Schreiber, Jacob, et al.
Publicado: (2020) -
Author Correction: Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
por: Schreiber, Jacob, et al.
Publicado: (2021) -
Choosing panels of genomics assays using submodular optimization
por: Wei, Kai, et al.
Publicado: (2016) -
Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples
por: Schreiber, Jacob, et al.
Publicado: (2020)