Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104480/ https://www.ncbi.nlm.nih.gov/pubmed/32228704 http://dx.doi.org/10.1186/s13059-020-01977-6 |