Načítá se...
A robust and interpretable end-to-end deep learning model for cytometry data
Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Existing approaches in interpreting and using cytometry measurements include manual or automated gating to identify cell subsets from the cytometry...
Uloženo v:
| Vydáno v: | Proc Natl Acad Sci U S A |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
National Academy of Sciences
2020
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7474669/ https://ncbi.nlm.nih.gov/pubmed/32801215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2003026117 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|