Human-Guided Causal Knowledge Injection for Virtual Cells

arXiv:2608.08430 · cs.HC, cs.AI · Submitted 2026-08-09 · Read on arXiv

Pengcheng Wang, Changjian Chen, Zhuo Tang, You Wu, Long Wang, Feng Yu, Kenli Li

cs.HC, cs.AI

Submitted: 2026-08-09

Updated: 2026-08-11

Code: https://github.com/hnu-vis/CELLens

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 20× in this paper · explained in 2 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Causal Discovery — 4× in this paper · explained in 3 episodes
• Causal Inference — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Composition — 3× in this paper · explained in 2 episodes
• Graph Construction — 3× in this paper · explained in 3 episodes
• Human-in-the-loop — 3× in this paper · explained in 4 episodes
• Representation Learning — 3× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Disentanglement — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Gene Ontology — 2× in this paper
• Generative Model — 2× in this paper · explained in 2 episodes
• Ontology — 2× in this paper · explained in 2 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Conditional Independence — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 9 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 10 episodes
• Diffusion Models — 1× in this paper · explained in 9 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Variables — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Structural Causal Model — 1× in this paper
• Structural Causal Model (SCM) — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
• Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning

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