Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Abstract 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 th...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-03-01
|
| Series: | Genome Biology |
| Online Access: | http://link.springer.com/article/10.1186/s13059-020-01977-6 |