Cargando…
AggMapNet: enhanced and explainable low-sample omics deep learning with feature-aggregated multi-channel networks
Omics-based biomedical learning frequently relies on data of high-dimensions (up to thousands) and low-sample sizes (dozens to hundreds), which challenges efficient deep learning (DL) algorithms, particularly for low-sample omics investigations. Here, an unsupervised novel feature aggregation tool A...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071488/ https://www.ncbi.nlm.nih.gov/pubmed/35100418 http://dx.doi.org/10.1093/nar/gkac010 |