FlowLOT: Linearized Optimal Transport for Flow Cytometry Analysis

arXiv:2609.17906 · q-bio.QM · Submitted 2026-09-15 · Read on arXiv

q-bio.QM

Submitted: 2026-09-15

Updated: 2026-09-15

Code: https://github.com/naqibUVa/FlowLOT_v1

Terminology

• Optimal Transport — 30× in this paper · explained in 5 episodes
• Clustering — 22× in this paper · explained in 2 episodes
• Embeddings — 18× in this paper · explained in 2 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Abundance — 7× in this paper · explained in 1 episode
• Interpretability — 7× in this paper · explained in 15 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Partial Least Squares — 4× in this paper
• Calibration — 2× in this paper · explained in 7 episodes
• Computational Tractability — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Nearest Subspace Classifier — 2× in this paper
• Vector Representations — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Admissibility — 1× in this paper · explained in 2 episodes
• Admissibility Conditions — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Nadia — 1× in this paper · explained in 2 episodes
• Optimal Transport (OT) — 1× in this paper · explained in 4 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Point Cloud Classification via Deep Set Linearized Optimal Transport

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