Cargando…
Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps
Highly multiplexed imaging holds enormous promise for understanding how spatial context shapes the activity of the genome and its products at multiple length scales. Here, we introduce a deep learning framework called CAMPA (Conditional Autoencoder for Multiplexed Pixel Analysis), which uses a condi...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group US
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333128/ https://www.ncbi.nlm.nih.gov/pubmed/37248388 http://dx.doi.org/10.1038/s41592-023-01894-z |