A GNN-infused set transformer with farthest-point-sampled inducing points achieves the best reported F1 for automated MRD detection in flow cytometry data.
Nature Communications8(14825), 2041–1723 (2017)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data
A GNN-infused set transformer with farthest-point-sampled inducing points achieves the best reported F1 for automated MRD detection in flow cytometry data.