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Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome

The human epigenome has been experimentally characterized by thousands of measurements for every basepair in the human genome. We propose a deep neural network tensor factorization method, Avocado, that compresses this epigenomic data into a dense, information-rich representation. We use this learne...

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Detalles Bibliográficos
Publicado en:Genome Biol
Autores principales: Schreiber, Jacob, Durham, Timothy, Bilmes, Jeffrey, Noble, William Stafford
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2020
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7104480/
https://ncbi.nlm.nih.gov/pubmed/32228704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-01977-6
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