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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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| I publikationen: | Genome Biol |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2020
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| Ämnen: | |
| Länkar: | 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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