CancerZigZag: Iterative Seed-Anchored Diffusion for Generative Modeling of Single-Cell State Transitions

arXiv:2609.37735 · q-bio.GN · Submitted 2026-09-29 · Read on arXiv

q-bio.GN

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/JHelge/CanzerZigZag

Terminology

Diffusion Model — 21× in this paper · explained in 8 episodes
Sparsity — 11× in this paper · explained in 4 episodes
Latent Representation — 9× in this paper · explained in 2 episodes
Ablation — 7× in this paper · explained in 1 episode
Fine-Tuning — 6× in this paper · explained in 5 episodes
Latent Representations — 6× in this paper · explained in 3 episodes
Latent Space — 4× in this paper · explained in 7 episodes
Explainability — 3× in this paper · explained in 3 episodes
Diffusion Models — 2× in this paper · explained in 6 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Generative Modeling — 2× in this paper · explained in 3 episodes
Adam — 1× in this paper · explained in 2 episodes
Alignment — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Clustering — 1× in this paper · explained in 2 episodes
Diffusion Process — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Generalization — 1× in this paper · explained in 13 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Information Leakage — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Residualization — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes
Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

CancerZigZag: Iterative Seed-Anchored Diffusion for Generative Modeling of Single-Cell State Transitions

Terminology

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